Digital Capture
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Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. -
Product ID Product Type Product Description Notes Price (USD) Weight (KG) SKU 10534 Mobile-Phone Apple Iphone 4S 8GB White 226.8
Rm A1,10/F, Shun Luen Factory Building, 86 Tokwawan Road, Hong Kong TEL: +852 2325 1867 FAX: +852 23251689 Website: http://www.ac-electronic.com/ For products not in our pricelist, please contact our sales. 29/8/2015 Product Price Weight Product Type Product Description Notes SKU ID (USD) (KG) 10534 mobile-phone Apple iPhone 4S 8GB White 226.8 0.5 40599 10491 mobile-phone Apple iPhone 5s 16GB Black Slate 486.4 0.5 40557 10497 mobile-phone Apple iPhone 5s 16GB Gold 495.6 0.5 40563 10494 mobile-phone Apple iPhone 5s 16GB White Silver 487.7 0.5 40560 10498 mobile-phone Apple iPhone 5s 32GB Gold 536.3 0.5 40564 11941 mobile-phone Apple iPhone 6 128GB Gold 784.1 0.5 41970 11939 mobile-phone Apple iPhone 6 16GB Gold 622.8 0.5 41968 11936 mobile-phone Apple iPhone 6 16GB Silver 633.3 0.5 41965 11942 mobile-phone Apple iPhone 6 16GB Space Grey 618.9 0.5 41971 11940 mobile-phone Apple iPhone 6 64GB Gold 705.4 0.5 41969 11937 mobile-phone Apple iPhone 6 64GB Silver 706.7 0.5 41966 11943 mobile-phone Apple iPhone 6 64GB Space Grey 708 0.5 41972 11963 mobile-phone Apple iPhone 6 Plus 128GB Silver 917.9 1 41991 11955 mobile-phone Apple iPhone 6 Plus 16GB Gold 755.3 1 41983 11961 mobile-phone Apple iPhone 6 Plus 16GB Silver 731.6 1 41989 11958 mobile-phone Apple iPhone 6 Plus 16GB Space Grey 735.6 1 41986 11956 mobile-phone Apple iPhone 6 Plus 64GB Gold 843.1 1 41984 11962 mobile-phone Apple iPhone 6 Plus 64GB Silver 841.8 1 41990 11959 mobile-phone Apple iPhone 6 Plus 64GB Space Grey 840.5 1 41987 12733 mobile-phone ASUS ZenFone 2 ZE550ML Dual SIM -
Spatial Frequency Response of Color Image Sensors: Bayer Color Filters and Foveon X3 Paul M
Spatial Frequency Response of Color Image Sensors: Bayer Color Filters and Foveon X3 Paul M. Hubel, John Liu and Rudolph J. Guttosch Foveon, Inc. Santa Clara, California Abstract Bayer Background We compared the Spatial Frequency Response (SFR) The Bayer pattern, also known as a Color Filter of image sensors that use the Bayer color filter Array (CFA) or a mosaic pattern, is made up of a pattern and Foveon X3 technology for color image repeating array of red, green, and blue filter material capture. Sensors for both consumer and professional deposited on top of each spatial location in the array cameras were tested. The results show that the SFR (figure 1). These tiny filters enable what is normally for Foveon X3 sensors is up to 2.4x better. In a black-and-white sensor to create color images. addition to the standard SFR method, we also applied the SFR method using a red/blue edge. In this case, R G R G the X3 SFR was 3–5x higher than that for Bayer filter G B G B pattern devices. R G R G G B G B Introduction In their native state, the image sensors used in digital Figure 1 Typical Bayer filter pattern showing the alternate sampling of red, green and blue pixels. image capture devices are black-and-white. To enable color capture, small color filters are placed on top of By using 2 green filtered pixels for every red or blue, each photodiode. The filter pattern most often used is 1 the Bayer pattern is designed to maximize perceived derived in some way from the Bayer pattern , a sharpness in the luminance channel, composed repeating array of red, green, and blue pixels that lie mostly of green information. -
Download Photomatix Pro (Scarica Photomatix Pro) O Download Photomatix Essentials (Scarica Photomatix Essentials) in Blu
Photomatix Pro 6 Versione 6.1 Manuale utente © 2018 HDRsoft. Tutti i diritti riservati. Traduzione in italiano di Carmelo Battaglia Email: battaglia.carmelo chiocciola fastwebnet.it Dicembre 2018 Note del traduttore In considerazione del fatto che non esiste ancora una localizzazione in italiano dell’interfaccia del software, ho ritenuto opportuno nella traduzione del manuale lasciare tutte le voci dell’interfaccia in inglese seguite tra parentesi dalle rispettive traduzioni in italiano, in modo da rendere più chiare ed esplicite le funzioni e le procedure relative alle corrispondenti voci. Inoltre ho aggiunto, traducendoli alcuni argomenti presi dal sito web, relativi alle FAQ, alla fotografia di interni e alle impostazioni dell’AEB nelle varie fotocamere, inserendoli in Appendici, per rendere più comprensibili tutti gli aspetti della fotografia HDR. Nonostante abbia eseguito più revisioni del testo, qualcosa potrebbe essermi sfuggita, pertanto invito il lettore a comunicarmi qualsiasi errore o refuso individuato in modo che possa porvi rimedio. 2 Indice generale Introduzione 1 1 - Scattare foto per HDR 3 1.1 - Configurare la fotocamera 4 1.2 - Esposizioni 4 1.2.1 - Selezionare le esposizioni 5 1.2.2 - Interni con finestre luminose e altre scene con contrasto elevato 5 1.3 - Usare fotocamere analogiche 6 2 - Caricare e unire foto 7 2.1 - Unire un gruppo di foto a forcella 7 2.1.1 - Caricare un gruppo di foto a forcella 7 2.1.2 - Opzioni di unione in HDR 8 2.1.3 - La finestra Opzioni di riduzione effetti fantasma 11 2.1.4 - Usare lo strumento -
Cameras • Video Camera
Outline • Pinhole camera •Film camera • Digital camera Cameras • Video camera Digital Visual Effects, Spring 2007 Yung-Yu Chuang 2007/3/6 with slides by Fredo Durand, Brian Curless, Steve Seitz and Alexei Efros Camera trial #1 Pinhole camera pinhole camera scene film scene barrier film Add a barrier to block off most of the rays. • It reduces blurring Put a piece of film in front of an object. • The pinhole is known as the aperture • The image is inverted Shrinking the aperture Shrinking the aperture Why not making the aperture as small as possible? • Less light gets through • Diffraction effect High-end commercial pinhole cameras Adding a lens “circle of confusion” scene lens film A lens focuses light onto the film $200~$700 • There is a specific distance at which objects are “in focus” • other points project to a “circle of confusion” in the image Lenses Exposure = aperture + shutter speed F Thin lens equation: • Aperture of diameter D restricts the range of rays (aperture may be on either side of the lens) • Any object point satisfying this equation is in focus • Shutter speed is the amount of time that light is • Thin lens applet: allowed to pass through the aperture http://www.phy.ntnu.edu.tw/java/Lens/lens_e.html Exposure Effects of shutter speeds • Two main parameters: • Slower shutter speed => more light, but more motion blur – Aperture (in f stop) – Shutter speed (in fraction of a second) • Faster shutter speed freezes motion Aperture Depth of field • Aperture is the diameter of the lens opening, usually specified by f-stop, f/D, a fraction of the focal length. -
Evaluation of the Foveon X3 Sensor for Astronomy
Evaluation of the Foveon X3 sensor for astronomy Anna-Lea Lesage, Matthias Schwarz [email protected], Hamburger Sternwarte October 2009 Abstract Foveon X3 is a new type of CMOS colour sensor. We present here an evaluation of this sensor for the detection of transit planets. Firstly, we determined the gain , the dark current and the read out noise of each layer. Then the sensor was used for observations of Tau Bootes. Finally half of the transit of HD 189733 b could be observed. 1 Introduction The detection of exo-planet with the transit method relies on the observation of a diminution of the ux of the host star during the passage of the planet. This is visualised in time as a small dip in the light curve of the star. This dip represents usually a decrease of 1% to 3% of the magnitude of the star. Its detection is highly dependent of the stability of the detector, providing a constant ux for the star. However ground based observations are limited by the inuence of the atmosphere. The latter induces two eects : seeing which blurs the image of the star, and scintillation producing variation of the apparent magnitude of the star. The seeing can be corrected through the utilisation of an adaptive optic. Yet the eect of scintillation have to be corrected by the observation of reference stars during the observation time. The perturbation induced by the atmosphere are mostly wavelength independent. Thus, record- ing two identical images but at dierent wavelengths permit an identication of the wavelength independent eects. -
ELEC 7450 - Digital Image Processing Image Acquisition
I indirect imaging techniques, e.g., MRI (Fourier), CT (Backprojection) I physical quantities other than intensities are measured I computation leads to 2-D map displayed as intensity Image acquisition Digital images are acquired by I direct digital acquisition (digital still/video cameras), or I scanning material acquired as analog signals (slides, photographs, etc.). I In both cases, the digital sensing element is one of the following: Line array Area array Single sensor Stanley J. Reeves ELEC 7450 - Digital Image Processing Image acquisition Digital images are acquired by I direct digital acquisition (digital still/video cameras), or I scanning material acquired as analog signals (slides, photographs, etc.). I In both cases, the digital sensing element is one of the following: Line array Area array Single sensor I indirect imaging techniques, e.g., MRI (Fourier), CT (Backprojection) I physical quantities other than intensities are measured I computation leads to 2-D map displayed as intensity Stanley J. Reeves ELEC 7450 - Digital Image Processing Single sensor acquisition Stanley J. Reeves ELEC 7450 - Digital Image Processing Linear array acquisition Stanley J. Reeves ELEC 7450 - Digital Image Processing Two types of quantization: I spatial: limited number of pixels I gray-level: limited number of bits to represent intensity at a pixel Array sensor acquisition I Irradiance incident at each photo-site is integrated over time I Resulting array of intensities is moved out of sensor array and into a buffer I Quantized intensities are stored as a grayscale image Stanley J. Reeves ELEC 7450 - Digital Image Processing Array sensor acquisition I Irradiance incident at each photo-site is integrated over time I Resulting array of intensities is moved out of sensor array and into a buffer I Quantized Two types of quantization: intensities are stored as a I spatial: limited number of pixels grayscale image I gray-level: limited number of bits to represent intensity at a pixel Stanley J. -
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. -
Veidrodinis Fotoaparatas SIGMA SD15 (Product Code: OBO-7893)
Address: Taikos pr. 17 Klaipėda, Lietuva Email: [email protected] Phone number: +370 46 246444 www.fotoaparatas.lt Veidrodinis fotoaparatas SIGMA SD15 (Product code: OBO-7893) Price: 0 € Description: Sigma SD15 4.6 milijonų megapikselių True II Processor 3" colių LCD ekranas ISO jautrumas 100, 200, 400, 800, 1600 Technical specifications: Weight: 750 g Connections: USB 1.0 (1.5Mbit/sec) Sensor size: 20.7 x 13.8 mm (2.85 cm²) TTL flash mode (digital only) Manual flash mode with 22 partial lighting levels Servo flash mode with learning function HSS – high speed synchronisation 1st and 2nd shutter curtain synchronisation Man / Flash Mode Auto / Flash On / Slow Synchro / Rear Slow Synchro / Flash Off / Flash: Advanced Flash Red-Eye Correction Auto / On / Off Auto Daylight Synchronized Flash NO Distance limitations using Flash (m) I / Flash Bracketing : 1/3, 1/2, 2/3, 1.0, 2.0, 3.0 EV steps, 3/5 frames (1.0/2.0/3.0 EV : only 3 frames) selectable Flash Metering System : Pre-flash TTL Flash Compensation : ±3.0 EV (switchable betwee / Flash Bracketing : Adress: Taikos pr. 17 Klaipėda, Lietuva Email: [email protected] Phone number: +370 46 246444 www.fotoaparatas.lt Page 1 of 7 2021-10-04 16:47:35 Created DataLogic v3.0 1/3, 1/2, 2/3, 1.0, 2.0, 3.0 EV steps, 3/5 frames (1.0/2.0/3.0 EV : only 3 frames) selectable Flash Metering System : Pre-flash TTL Flash Compensation : ±3.0 EV (switchable betwee / Built-in Flash Yes Built-in Flash Distance 12/39, 13/43 with manual flash (m/ft, ISO 100, 20°C/68°F) X-Sync Speed 1/200 Flash -
Computer Vision, CS766
Announcement • A total of 5 (five) late days are allowed for projects. • Office hours – Me: 3:50-4:50pm Thursday (or by appointment) – Jake: 12:30-1:30PM Monday and Wednesday Image Formation Digital Camera Film Alexei Efros’ slide The Eye Image Formation • Let’s design a camera – Idea 1: put a piece of film in front of an object – Do we get a reasonable image? Steve Seitz’s slide Pinhole Camera • Add a barrier to block off most of the rays – This reduces blurring – The opening known as the aperture – How does this transform the image? Steve Seitz’s slide Camera Obscura • The first camera – 5th B.C. Aristotle, Mozi (Chinese: 墨子) – How does the aperture size affect the image? http://en.wikipedia.org/wiki/Pinhole_camera Shrinking the aperture • Why not make the aperture as small as possible? – Less light gets through – Diffraction effects... Shrinking the aperture Shrinking the aperture Sharpest image is obtained when: d 2 f d is diameter, f is distance from hole to film λ is the wavelength of light, all given in metres. Example: If f = 50mm, λ = 600nm (red), d = 0.36mm Srinivasa Narasimhan’s slide Pinhole cameras are popular Jerry Vincent's Pinhole Camera Impressive Images Jerry Vincent's Pinhole Photos What’s wrong with Pinhole Cameras? • Low incoming light => Long exposure time => Tripod KODAK Film or Paper Bright Sun Cloudy Bright TRI-X Pan 1 or 2 seconds 4 to 8 seconds T-MAX 100 Film 2 to 4 seconds 8 to 16 seconds KODABROMIDE Paper, F2 2 minutes 8 minutes http://www.kodak.com/global/en/consumer/education/lessonPlans/pinholeCamera/pinholeCanBox.shtml What’s wrong with Pinhole Cameras People are ghosted What’s wrong with Pinhole Cameras People become ghosts! Pinhole Camera Recap • Pinhole size (aperture) must be “very small” to obtain a clear image. -
2006 SPIE Invited Paper: a Brief History of 'Pixel'
REPRINT — author contact: <[email protected]> A Brief History of ‘Pixel’ Richard F. Lyon Foveon Inc., 2820 San Tomas Expressway, Santa Clara CA 95051 ABSTRACT The term pixel, for picture element, was first published in two different SPIE Proceedings in 1965, in articles by Fred C. Billingsley of Caltech’s Jet Propulsion Laboratory. The alternative pel was published by William F. Schreiber of MIT in the Proceedings of the IEEE in 1967. Both pixel and pel were propagated within the image processing and video coding field for more than a decade before they appeared in textbooks in the late 1970s. Subsequently, pixel has become ubiquitous in the fields of computer graphics, displays, printers, scanners, cameras, and related technologies, with a variety of sometimes conflicting meanings. Reprint — Paper EI 6069-1 Digital Photography II — Invited Paper IS&T/SPIE Symposium on Electronic Imaging 15–19 January 2006, San Jose, California, USA Copyright 2006 SPIE and IS&T. This paper has been published in Digital Photography II, IS&T/SPIE Symposium on Electronic Imaging, 15–19 January 2006, San Jose, California, USA, and is made available as an electronic reprint with permission of SPIE and IS&T. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. A Brief History of ‘Pixel’ Richard F. Lyon Foveon Inc., 2820 San Tomas Expressway, Santa Clara CA 95051 ABSTRACT The term pixel, for picture element, was first published in two different SPIE Proceedings in 1965, in articles by Fred C. -
30Mm F1.4 DC HSM A013
᪥ᮏㄒ㻌 ENGLISH DEUTSCH FRANÇAIS NEDERLANDS ESPAÑOL ITALIANO SVENSKA ƜƷƨƼƸŴǷǰȞȬȳǺǛƓᝰƍ൭NJƍƨƩƖƋǓƕƱƏƝƟƍLJƢŵஜ Thank you very much for purchasing a Sigma Lens. In order to get the Wir danken Ihnen für das Vertrauen, das Sie uns mit dem Kauf dieses Nous vous remercions d’avoir choisi un objectif SIGMA. Pour en tirer le Wij stellen het op prijs dat u een Sigma objectief heeft aangeschaft. Le agradecemos la compra de este objetivo Sigma. Para conseguir los Vi ringraziamo della preferenza accordataci con l’acquisto del vostro Tack för att du valde Sigma. För att få ut största möjliga nytta och nöje av ᛟଢǛƝችᛠƷɥŴȬȳǺƷೞᏡŴદ˺ŴӕǓৢƍɥƷදॖໜǛദƠƘྸ maximum performance and enjoyment out of your Sigma lens, please SIGMA Produktes erwiesen haben. Bitte lesen Sie sich diese Anleitung meilleur profit et le plus grand plaisir, nous vous conseillons de lire Teneinde maximaal profijt en plezier van uw Sigma objectief te hebben, mejores resultados de su objetivo lea atentamente este manual de nuovo obiettivo Sigma. Vi raccomandiamo di leggere attentamente le ditt Sigma objektiv, rekommenderar vi att du läser igenom denna ᚐƠƯŴϙჇજࢨǛƓಏƠLjƘƩƞƍŵƳƓஜᛟଢƸŴӲǫȡȩဇσဇƱ read this instruction booklet thoroughly before you start to use the lens. vor der ersten Benutzung des Gerätes aufmerksam durch. attentivement le mode d’emploi avant toute utilisation. adviseren wij u deze gebruiksaanwijzing geheel door te lezen alvorens u instrucciones antes de utilizarlo. presenti istruzioni prima di cominciare a usarlo. Conoscendolo meglio, vi bruksanvisning innan du börjar använda objektivet. sarà facile ottenerne le migliori prestazioni e soddisfazioni. ƳƬƯƓǓLJƢƷưŴႸƴǑǓƝ̅ဇǫȡȩƷᛆ࢘ሖǛƓᛠLjƴƳǓŴ het objectief gaat gebruiken. ACHTUNG!!: VORSICHTSMAßNAHMEN AVERTISSEMENT ! : PRECAUTIONS D’UTILISATION ¡¡ WARNING!! : SAFETY PRECAUTIONS ADVERTENCIA!! : MEDIDAS DE SEGURIDAD VARNING!! : SÄKERHETSANVISNINGAR ٻƝ̅ဇǫȡȩƷᛟଢNjƋǘƤƯƝᚁƘƩƞƍŵƓᛠLjƴƳƬƨƋƱƸŴ Ne regardez jamais le soleil à travers l’objectif.