(12) United States Patent (10) Patent No.: US 8,343,365 B2 Yoshibayashi (45) Date of Patent: Jan

Total Page:16

File Type:pdf, Size:1020Kb

(12) United States Patent (10) Patent No.: US 8,343,365 B2 Yoshibayashi (45) Date of Patent: Jan USOO83.43365B2 (12) United States Patent (10) Patent No.: US 8,343,365 B2 Yoshibayashi (45) Date of Patent: Jan. 1, 2013 (54) METHOD FOR PRODUCING COLOR FILTER 5,140,396 A 8, 1992 Needham et al. 5,510,215 A * 4/1996 Prince et al. ...................... 430.7 5,677,202 A * 10/1997 Hawkins et al. ................ 438/70 (75) Inventor: Mitsuji Yoshibayashi, Shizuoka-ken 5,689,318 A * 11/1997 Matsuyama et al. .......... 349/106 (JP) 6,720,119 B2 * 4/2004 Ohtsu et al. ............ 430.7 6,866,972 B2 * 3/2005 Ishino ............................... 430.7 (73) Assignee: FUJIFILM Corporation, Tokyo (JP) (Continued) (*) Notice: Subject to any disclaimer, the term of this FOREIGN PATENT DOCUMENTS patent is extended or adjusted under 35 JP 55-146406 A 11, 1980 U.S.C. 154(b) by 858 days. JP 61-041102 A 2, 1986 JP 5-323113 A 12/1993 (21) Appl. No.: 11/779,212 (Continued) (22) Filed: Jul. 17, 2007 OTHER PUBLICATIONS Prior Publication Data Communication, dated Sep. 24, 2012, issued in corresponding EP (65) Application No. 07014051.2, 5 pages. US 2008/OO176O7 A1 Jan. 24, 2008 Primary Examiner —Nadine Norton (30) Foreign Application Priority Data Assistant Examiner — Christopher Remavege (74) Attorney, Agent, or Firm — Sughrue Mion, PLLC Jul. 19, 2006 (JP) ................................. 2006-196622 Dec. 22, 2006 (JP) ................................. 2006-346108 (57) ABSTRACT (51) Int. C. The invention provides a color filter producing method that is B29D II/00 (2006.01) based on dry etching and makes it possible to produce a color HOIL 2L/00 (2006.01) filter which has fine and rectangular pixels and is excellent in (52) U.S. Cl. .................. 216/24; 216/2: 216/23: 216/37; flatness, and color filters produced by the method. The method is a color filter producing method of forming a first 216/38: 216/41; 216/58; 216/83: 438/65; colorant-containing layer on a Support, removing the first 438/66; 438/70 colorant-containing layer corresponding to a region where a (58) Field of Classification Search .................... 216/23, second colorant-containing layer is to be formed by dry etch 216/38, 50, 2, 24, 37, 41, 58,83; 438/65, ing, forming the second colorant-containing layer so as to be 438/66, 70 embedded into the layer-removed region, removing the first See application file for complete search history. and second colorant-containing layers corresponding to a References Cited region where a third colorant-containing layer is to be formed (56) by dry etching, forming the third colorant-containing layer so U.S. PATENT DOCUMENTS as to be embedded into the layer-removed region, and remov 4,182,647 A * 1/1980 Yoshihara et al. ............ 430,314 ing the colorant-containing layers laminated on other colo 4,534,620 A * 8/1985 Gale et al. ..................... 359,582 rant-containing layers. 4,777, 117 A 10, 1988 Murata et al. 5,059,500 A * 10, 1991 Needham et al. ................. 430,7 4 Claims, 6 Drawing Sheets 1O 13 NY US 8,343,365 B2 Page 2 U.S. PATENT DOCUMENTS FOREIGN PATENT DOCUMENTS 2003/0215574 A1* 11/2003 Ishino ........................ 427,385.5 JP 10-209410 A 8, 1998 2004/0197681 A1* 10/2004 Yaung ............................... 430,7 JP 2001-249218 A 9, 2001 2004/0246351 A1* 12, 2004 Hiatt et al. ... 348,272 2009/0104545 A1 4/2009 Chen et al. ........................ 430,7 * cited by examiner U.S. Patent Jan. 1, 2013 Sheet 2 of 6 US 8,343,365 B2 FIG 4 FIG 5 FIG. 6 U.S. Patent Jan. 1, 2013 Sheet 3 of 6 % Z23.2%2 / 2 2 . 2N2N2 U.S. Patent Jan. 1, 2013 Sheet 4 of 6 US 8,343,365 B2 FIG 10 7N FIG 11 SN %% FIG. 12 10 13 13 U.S. Patent Jan. 1, 2013 Sheet 5 of 6 US 8,343,365 B2 FIG 3 FIG. 14 13 S%SZS %3% SZSZS %.3% N2N2N FIG 15 14 eNe eNe e U.S. Patent Jan. 1, 2013 Sheet 6 of 6 US 8,343,365 B2 FIG 16 15 16 2 FIG 17 ZLZ52' US 8,343,365 B2 1. 2 METHOD FOR PRODUCING COLOR FILTER pickup elements has been particularly remarkable, and thus, it has been necessary to use a technique providing a high reso CROSS-REFERENCE TO RELATED lution below 2.0 um. Thus, in conventional photolithographic APPLICATION methods, the resolution thereofhas been approaching a limit. Apart from the above-mentioned color filter producing This application claims priority under 35 USC 119 from method using photolithography, a dry etching process has Japanese Patent Applications No. 2006-196622 and No. been hitherto known as a process effective for forming a 2006-346108, the disclosures of which are incorporated by thinner and finer pattern. The dry etching process has been reference herein. hitherto adopted as a process for forming a pattern with 10 respect to a thin film made of an evaporated colorant (see, for BACKGROUND OF THE INVENTION example, JP-A No. 55-146406). This process makes it pos 1. Field of the Invention sible to form a thin film which can have a thickness as small The present invention relates to a method for producing a as /2 or less of the thickness obtained by photolithography color filter, using a dry etching process. 15 and have spectral characteristics as good as those obtained by 2. Description of the Related Art photolithography. Furthermore, a pattern forming process As methods for manufacturing a color filter for use with a wherein photolithography is combined with a dry etching liquid crystal display device or a solid image pickup element, process has also been proposed (see, for example, JP-A No. dyeing methods, printing methods, electrodeposition meth 2001-249218). ods, and pigment dispersion methods are known. However, in the formation of a thin film by evaporation In the pigment dispersion method, the color filter is pro (vapor deposition), an evaporating device is unavoidably pol duced by a photolithographic method using a colorant-con luted. Thus, a large burden is imposed on the production of taining radiation-sensitive composition prepared by dispers color filters. Moreover, their pixels are made only of a pig ing a pigment in any one of various types of photosensitive ment or dye. For this reason, the adhesion of the pixels to an compositions. The color filter produced by this method is 25 underlying flattening layer oran upper layer is bad, and this is stable with respect to light, heat and the like since the pigment one of the reasons that the yield does not rise. is used. A high positional accuracy can be obtained in this Moreover, the color filter producing method based on dry method since patterning is performed by the photolitho etching has a problem in that when a second colorant-con graphic method, and accordingly, this method has widely taining layer is formed and etched, it is difficult to simulta been used as a method suitable for producing a color filter for 30 neously remove the coloring material of the second layer a color display with a large screen and high fineness. applied on the first layer and the coloring material of the In a case in which the color filter is produced by the pig second layer coated in a region where the first layer has been ment dispersion method, the radiation-sensitive composition removed. In the case of separately removing the coloring is first coated onto a glass Substrate by using, for example, a material of the second layer applied on the first layer and the spin coater or a roll coater and then dried, to thereby form a 35 coloring material of the second layer coated in the region coating film. Then, colored pixels are obtained by pattern where the first layer has been removed, there arise problems exposing and developing the thus-formed coating film. The in that the number of steps increases and costs increase. color filter can be obtained by repeating Such an operation as described above for each of the different colors. SUMMARY OF THE INVENTION As for the pigment dispersion method, a method which 40 uses a negative photosensitive composition comprising an The present invention has been made in view of the above alkali-soluble resin together with a photopolymerizable circumstances and provides a method for producing a color monomer and a photopolymerization initiator is proposed in filter. A first aspect of the present invention provides a method each of for example, Japanese Patent Application Laid-Open for producing a color filter, comprising: (JP-A) Nos. 2-181704, 2-199403, 5-273411 and 7-140654. 45 a first colorant-containing layer forming step (a) of form In recent years, it has been desired that color filters for solid ing a first colorant-containing layer over a Support; image pickup elements be made minuter and finer, and tech a photoresist layer forming step (b) of forming a photore niques using a dye have been suggested (see, for example, sist layer on the first colorant-containing layer, JP-A No. 6-75375). However, curable compositions which an image forming step (c) of removing the photoresist layer contain a dye have a problem in that various performances 50 in a region where a second colorant-containing layer different Such as light resistance, heat resistance, Solubility, and uni from the first colorant-containing layer is to be formed over form coating property are in general poorer than in composi the Support, thereby forming an image on the first colorant tions which contain a pigment. Moreover, when such a cur containing layer, able composition is used, in particular, for the production of a an etching step (d) of etching the first colorant-containing color filter for a solid image pickup element, the curable 55 layer in the region into the form of the image formed in the composition is required to provide a film thickness of 1.5um image forming step by dry etching; or less; therefore, it is necessary to add a large amount of a a photoresist layer removing step (e) of removing the pho colorant into the curable composition.
Recommended publications
  • Demosaicking: Color Filter Array Interpolation [Exploring the Imaging
    [Bahadir K. Gunturk, John Glotzbach, Yucel Altunbasak, Ronald W. Schafer, and Russel M. Mersereau] FLOWER PHOTO © PHOTO FLOWER MEDIA, 1991 21ST CENTURY PHOTO:CAMERA AND BACKGROUND ©VISION LTD. DIGITAL Demosaicking: Color Filter Array Interpolation [Exploring the imaging process and the correlations among three color planes in single-chip digital cameras] igital cameras have become popular, and many people are choosing to take their pic- tures with digital cameras instead of film cameras. When a digital image is recorded, the camera needs to perform a significant amount of processing to provide the user with a viewable image. This processing includes correction for sensor nonlinearities and nonuniformities, white balance adjustment, compression, and more. An important Dpart of this image processing chain is color filter array (CFA) interpolation or demosaicking. A color image requires at least three color samples at each pixel location. Computer images often use red (R), green (G), and blue (B). A camera would need three separate sensors to completely meas- ure the image. In a three-chip color camera, the light entering the camera is split and projected onto each spectral sensor. Each sensor requires its proper driving electronics, and the sensors have to be registered precisely. These additional requirements add a large expense to the system. Thus, many cameras use a single sensor covered with a CFA. The CFA allows only one color to be measured at each pixel. This means that the camera must estimate the missing two color values at each pixel. This estimation process is known as demosaicking. Several patterns exist for the filter array.
    [Show full text]
  • Image-Quality Metric System for Color Filter Array Evaluation
    PLOS ONE RESEARCH ARTICLE Image-quality metric system for color filter array evaluation Tae Wuk BaeID* Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, South Korea * [email protected], [email protected] a1111111111 Abstract a1111111111 a1111111111 A modern color filter array (CFA) output is rendered into the final output image using a a1111111111 a1111111111 demosaicing algorithm. During this process, the rendered image is affected by optical and carrier cross talk of the CFA pattern and demosaicing algorithm. Although many CFA pat- terns have been proposed thus far, an image-quality (IQ) evaluation system capable of com- prehensively evaluating the IQ of each CFA pattern has yet to be developed, although IQ evaluation items using local characteristics or specific domain have been created. Hence, OPEN ACCESS we present an IQ metric system to evaluate the IQ performance of CFA patterns. The pro- Citation: Bae TW (2020) Image-quality metric posed CFA evaluation system includes proposed metrics such as the moire robustness system for color filter array evaluation. PLoS ONE 15(5): e0232583. https://doi.org/10.1371/journal. using the experimentally determined moire starting point (MSP) and achromatic reproduc- pone.0232583 tion (AR) error, as well as existing metrics such as color accuracy using CIELAB, a color Editor: Hocine Cherifi, Unviersity of Burgundy, reproduction error using spatial CIELAB, structural information using the structure similarity, FRANCE the image contrast based on MTF50, structural and color distortion using the mean deviation Received: October 7, 2019 similarity index (MDSI), and perceptual similarity using Haar wavelet-based perceptual simi- larity index (HaarPSI).
    [Show full text]
  • Comparison of Color Demosaicing Methods Olivier Losson, Ludovic Macaire, Yanqin Yang
    Comparison of color demosaicing methods Olivier Losson, Ludovic Macaire, Yanqin Yang To cite this version: Olivier Losson, Ludovic Macaire, Yanqin Yang. Comparison of color demosaicing methods. Advances in Imaging and Electron Physics, Elsevier, 2010, 162, pp.173-265. 10.1016/S1076-5670(10)62005-8. hal-00683233 HAL Id: hal-00683233 https://hal.archives-ouvertes.fr/hal-00683233 Submitted on 28 Mar 2012 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Comparison of color demosaicing methods a, a a O. Losson ∗, L. Macaire , Y. Yang a Laboratoire LAGIS UMR CNRS 8146 – Bâtiment P2 Université Lille1 – Sciences et Technologies, 59655 Villeneuve d’Ascq Cedex, France Keywords: Demosaicing, Color image, Quality evaluation, Comparison criteria 1. Introduction Today, the majority of color cameras are equipped with a single CCD (Charge- Coupled Device) sensor. The surface of such a sensor is covered by a color filter array (CFA), which consists in a mosaic of spectrally selective filters, so that each CCD ele- ment samples only one of the three color components Red (R), Green (G) or Blue (B). The Bayer CFA is the most widely used one to provide the CFA image where each pixel is characterized by only one single color component.
    [Show full text]
  • Interfacing Red/Clear Sensors to ADSP-BF609® Blackfin Processors Contributed by Gopal Karanam Rev 1 – May 28, 2013
    Engineer-to-Engineer Note EE-358 Technical notes on using Analog Devices DSPs, processors and development tools Visit our Web resources http://www.analog.com/ee-notes and http://www.analog.com/processors or e-mail [email protected] or [email protected] for technical support. Interfacing Red/Clear Sensors to ADSP-BF609® Blackfin Processors Contributed by Gopal Karanam Rev 1 – May 28, 2013 Introduction The ADSP-BF609 dual-core Blackfin® processor series is optimized for embedded vision and video analytics applications, such as automotive advanced driver assistance systems (ADAS), machine vision and robotics for industrial manufacturing systems, and security and surveillance system analytics. This Engineer- to-Engineer Note discusses the advanced features available for interfacing application specific cameras to the ADSP-BF609 Blackfin processor. Vision cameras have photosensors that convert Figure 1. Bayer Color Filter Array (CFA) light intensity into an electronic signal. Typical photosensors have little or no sensitivity to Vision based ADAS use multiple cameras to wavelength of incident light and therefore cannot capture the scene around the car to assist during separate color information. In order to capture the driving process. Typical machine vision color information, a mosaic of tiny color filters is algorithms use only the intensity of the light placed over the pixel sensors of an image sensor. (Luma). Hence, sensor manufactures produce monochrome sensors exclusively for ADAS One of the most common color filters used in applications. But, in order to meet stringent consumer cameras is the Bayer filter, which quality requirements the application needs access gives information about the intensity of light in to some color information as well.
    [Show full text]
  • Exposing Digital Forgeries in Color Filter Array Interpolated Images
    1 Exposing Digital Forgeries in Color Filter Array Interpolated Images Alin C. Popescu and Hany Faridy Abstract With the advent of low-cost and high-resolution digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. Most digital cameras, for example, employ a single sensor in conjunction with a color filter array (CFA), and then interpolate the missing color samples to obtain a three channel color image. This interpolation introduces specific correlations which are likely to be destroyed when tampering with an image. We quantify the specific correlations introduced by CFA interpolation, and describe how these correlations, or lack thereof, can be automatically detected in any portion of an image. We show the efficacy of this approach in revealing traces of digital tampering in lossless and lossy compressed color images interpolated with several different CFA algorithms. I. INTRODUCTION When it first surfaced, the digital image of Jane Fonda and Senator John Kerry sharing a stage at an anti-war rally was explosive 1. It was also a fake. The image was created by digitally splicing together two separate images. Because of the ease with which digital media can be manipulated, these types of digital forgeries are becoming more common. As a result, photographs no longer hold the unique stature as a definitive recording of events. Digital watermarking has been proposed as a means by which an image can be authenticated (see, for example, [1], [2] for general surveys).
    [Show full text]
  • Design of Switchable On/Off Subpixels for Primary Color Generation Based on Molybdenum Oxide Gratings
    Article Design of Switchable On/Off Subpixels for Primary Color Generation Based on Molybdenum Oxide Gratings Gonzalo Santos 1, Francisco González 1, Dolores Ortiz 1, José María Saiz 1, Maria Losurdo 2 , Yael Gutiérrez 2 and Fernando Moreno 1,* 1 Department of Applied Physics, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain; [email protected] (G.S.); [email protected] (F.G.); [email protected] (D.O.); [email protected] (J.M.S.) 2 Institute of Nanotechnology, CNR-NANOTEC, Via Orabona 4, 70126 Bari, Italy; [email protected] (M.L.); [email protected] (Y.G.) * Correspondence: [email protected] Abstract: Structural color emerges from the interaction of light with structured matter when its dimension is comparable to the incident wavelength. The reflected color can be switched by con- trolling such interaction with materials whose properties can be changed through external stimuli such as electrical, optical, or thermal excitation. In this research, a molybdenum oxide (MoOx) reflective grating to get a switchable on/off subpixel is designed and analyzed. The design is based on subpixel on and off states that could be controlled through the oxidation degree of MoOx.A suitable combination of three of these subpixels, optimized to get a control of primary colors, red, green, and blue, can lead to a pixel which can cover a wide range of colors in the color space for reflective display applications. Keywords: color reflective displays; phase-change materials; structural color Citation: Santos, G.; González, F.; Ortiz, D.; Saiz, J.M.; Losurdo, M.; Gutiérrez, Y.; Moreno, F.
    [Show full text]
  • High Sensitivity Color CMOS Image Sensor with White-RGB Color Filter
    High Sensitivity Color CMOS Image Sensor with WRGB Color Filter Array and Color Separation Process Using Edge Detection Hiroto Honda*1, Yoshinori Iida*1, and Yoshitaka Egawa*2 *1 Corporate Research & Development Center, Toshiba Corporation *2 Semiconductor Company, Toshiba Corporation ABSTRACT We have developed a CMOS image sensor with a novel color filter array (CFA) where one of the green pixels of the Bayer pattern was replaced with a white pixel. A transparent layer has been fabricated on the white pixel instead of a color filter to realize over 95% transmission for visible light with wavelengths of 400-700 nm. Pixel pitch of the device was 3.3 um and the number of pixels was 2 million (1600H x 1200V). By introducing the Bayer-like White-Red-Green-Blue (WRGB) CFA and by using the low-noise color separation process, signal-to-noise ratio (SNR) was improved. Low-illumination SNRs of interpolated R, G, and B values have been increased by 6dB, 1dB, and 6dB respectively, compared with those of the Bayer pattern. The false color signals at the edge have been suppressed by newly developed color separation process using edge detection. This new CFA has a great potential to significantly increase the sensitivity of CMOS/CCD image sensors with digital signal processing technology. 1 INTRODUCTION 2 BAYER-LIKE WRGB COLOR FILTER ARRAY A basic trend toward smaller pixels for CMOS image Figure 1 shows the Bayer layout and the newly sensors allows a huge number of pixels (more than developed Bayer-like WRGB layout. In a 2 x 2 unit 10M pixels), but causes decrease of the photodiode block one of the two green pixels was replaced with a area, resulting in decrease of incident photon number.
    [Show full text]
  • A Color Interpolation Method for Bayer Filter Array Images Based on Direction Flag
    International Conference on Civil, Materials and Environmental Sciences (CMES 2015) A Color Interpolation Method for Bayer Filter Array Images Based on Direction Flag Zheng Liu, Huachuang Wang Institute of Optics and Electronics Chinese Academy of Sciences, Sichuan Province, 610209, China Abstract—The paper presents a color interpolation method neighborhood interpolation method, bilinear interpolation for Bayer filter array images based on direction flag. The and cubic convolution interpolation method [2]. The proposed algorithm determines four edge patterns defined simplest and most referenced one is probably bilinear through direction flag by four nearest green values interpolation, which uses the same color component linear surrounding the green interpolation location. Firstly, Bayer averaging in 3×3 Bayer pattern block to estimate a pixel differences between multichannel pixels in horizontal and value. However, it introduces many color artifacts in the vertical directions of the color filter interpolation case are edge regions that blur the resulting image. The second obtained. Secondly according to direction flag and edge is correlation interpolation method by interpolating the pattern of the center pixel, missing green components of the color differences between green (G) pixel and red/blue center pixel are interpolated by different formulas in the (R/B) pixel, including edge gradient interpolation method horizontal, vertical and diagonal directions. Finally, correlation among channels is adopted to reconstruct [3,4], adaptive interpolation method [5,6] and so on. remaining red/blue components pixels. Experimental results Laroche [4] improved an effective color interpolation show that the presented method for Bayer CFA images method with edge direction detection by nearest green based on direction flag can provide better reconstruction values surrounding the green interpolation location.
    [Show full text]
  • Digital Camera and Image Forensics Katie Bouman
    Digital Camera and Image Forensics Katie Bouman In the past twenty years, much emphasis has been placed on technological breakthroughs in consumer electronics. Whether it be the creation CD’s, DVD’s, HDTV’s, or MP3’s, they were all created on the same basic principle; converting conventional analog information into digital information. Since these electronic systems are common today they may seem simple to understand, the conversion of a fluctuating wave into ones and zeros is much more difficult than it may appear. One example of this major shift is in the development of the digital camera. Inspired by the conventional analog camera, which uses chemical and mechanical processes to create an image, the digital camera has instead achieved this through the use of a digital image sensor and a computer (Wilson, et al, 2006). In just seconds a digital camera captures a sample of light that has bounced off a subject and has traveled through a series of lenses, which is then focused on a sensor that records the light electronically by breaking down the light pattern into a series of pixel values, and performs a full-color rendering that includes color filter array interpolation, color calibration, anti-aliasing, infrared rejection, and white point correction. However, a lot goes into doing just that (Adams, et al, 1998). Andreas Vesalius (1514-1564) was one of the first to dissect and examine the human body. As a result of Vesalius’s extensive work, many corrections were made in medicine, and scientists were able to use the enhancement in knowledge to extend their theories (Szaflarski, Diane, September 22, 2004).
    [Show full text]
  • Color Filter Arrays
    New Color Filter Arrays of High Light Sensitivity and High Demosaicking Performance Jue Wang1, Chao Zhang1, Pengwei Hao1,2 1 Peking University, 2 Queen Mary, University of London Outline • Introduction: What is CFA • How CFA works: demosaicking • CFA representation: frequency structure • CFA design: what should be optimized • CFA design: what constraints • New CFA designs & Evaluation • Conclusions Single-chip Color Cameras • Single-Chip Camera is based on a color filter mosaic fabricated on top of the light sensors, and the mosaic is generally an array (Color Filter Array, CFA). Lens On-chip color filter array Bayer Kodak CFA2.0 Image sensor Color filter arrays Demosaicking • As each individual sensor only records one color, at each pixel all the three primary colors, red, green and blue, of a color image must be reconstructed using a computational interpolation method – demosaicking. RGB pixels of CFA The CFA pattern CFA-filtered image Demosaicking Demosaicked image A few Commercialized CFAs • Bayer CFA pattern (Kodak, red, green, blue) • CMY CFA (Kodak, cyan, yellow, magenta) • RGBE CFA (Sony, red, green, blue, emerald) • CYGM CFA (a few, cyan, yellow, green, magenta) • CYGW CFA (JVC, yellow, cyan, green, unfiltered) CFAs proposed by researchers • Gindele & Gallagher (with white, 2002) • Parmar & Reeves (random, 2004) • Hirakawa & Wolfe (better recovery, 2008) • Condat (robust to noise, 2009) • Hao, Li, Lin & Dubois (better demosaicking, 2011) Kodak’s CFA2.0 • Second generation CFA for high-light sensitivity with 50% unfiltered pixels
    [Show full text]
  • A Study on Various Color Filter Array Based Techniques
    International Journal of Computer Applications (0975 – 8887) Volume 114 – No. 4, March 2015 A Study on Various Color Filter Array based Techniques Simranpreet Kaur Richa Sharma Computer Science and Engineering Assistant professor Global Institute Of Management and Emerging Global Institute Of Management and Emerging Technologies, Amritsar Technologies, Amritsar ABSTRACT A demosaicing algorithm is just a digital image process used to reconstruct full color image from the incomplete color samples output from a picture sensor overlaid with a color filter array (CFA). It is also known as CFA interpolation or color reconstruction. Most contemporary digital camera models acquire images using a single image sensor overlaid with a CFA, so demosaicing is the main processing pipeline required to render these images into a viewable format. Many modern Red Green Blue digital camera models can save images in a natural format Figure 1: Bayer Filter Sa mple (adapted from [12]) allowing the consumer to demosaicit using software, as opposed to utilizing the camera's built-in firmware. Thus A digital camera typically has means to reconstruct a whole demosaicing becomes and major area of research in vision RGB image using the above information. The resulting image processing applications. The key objective of the paper is to could be something like this: examine and analyze various image demosaicing techniques. The entire aim would be to explore various limitations of the earlier techniques. This paper ends up with the suitable gaps in earlier techniques. Keywords:- Demosaicing, Cfa, Bayer Layer, Smart Cameras. Original Reconstructed 1. INTRODUCTION A demosaicing [1]- [4] is just a digital image process used to Figure 2: Reconstructed Image (adaptive from [12] reconstruct full color image from incomplete color samples output from image sensor overlaid with a shade filter array 2.
    [Show full text]
  • A Case for Denoising Before Demosaicking Color Filter Array Data
    A case for denoising before demosaicking color filter array data Sung Hee Park, Hyung Suk Kim, Steven Lansel, Manu Parmar, and Brian A. Wandell Abstract Sensor defect —Denoising algorithms are well developed for Sensor correction grayscale and color images, but not as well for color filter array (CFA) data. Consequently, the common color imaging Intensity Pre-processing Demosaicking pipeline demosaics CFA data before denoising. In this paper scaling we explore the noise-related properties of the imaging pipeline that demosaics CFA data before denoising. We then propose and Enhancement, explore a way to transform CFA data to a form that is amenable compression to existing grayscale and color denoising schemes. Since CFA data are a third as many as demosaicked data, we can expect Post-processing Color conversion Denoising to reduce processing time and power requirements to about a third of current requirements. Index Terms—color imaging pipeline, demosaicking, denois- Fig. 1. Essential stages of the color imaging pipeline. Usually, a ing, CFA denoising denoising stage follows the demosaicking stage. I. INTRODUCTION researchers have proposed methods designed to denoise CFA data directly [3]–[5]. The color imaging pipeline in a typical digital camera starts In this paper we first motivate denoising before demosaick- with sensor data acquired through a color filter array (CFA). ing by analyzing issues related to denoising demosaicked The CFA mosaic allows the measurement of the intensity data. We then explore a novel method to denoise subsampled of only one waveband at a particular pixel location; the CFA data prior to demosaicking. This new approach requires image processing pipeline must have a demosaicking stage only a small change to the pipeline.
    [Show full text]