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What Resolution Should Your Images Be?
What Resolution Should Your Images Be? The best way to determine the optimum resolution is to think about the final use of your images. For publication you’ll need the highest resolution, for desktop printing lower, and for web or classroom use, lower still. The following table is a general guide; detailed explanations follow. Use Pixel Size Resolution Preferred Approx. File File Format Size Projected in class About 1024 pixels wide 102 DPI JPEG 300–600 K for a horizontal image; or 768 pixels high for a vertical one Web site About 400–600 pixels 72 DPI JPEG 20–200 K wide for a large image; 100–200 for a thumbnail image Printed in a book Multiply intended print 300 DPI EPS or TIFF 6–10 MB or art magazine size by resolution; e.g. an image to be printed as 6” W x 4” H would be 1800 x 1200 pixels. Printed on a Multiply intended print 200 DPI EPS or TIFF 2-3 MB laserwriter size by resolution; e.g. an image to be printed as 6” W x 4” H would be 1200 x 800 pixels. Digital Camera Photos Digital cameras have a range of preset resolutions which vary from camera to camera. Designation Resolution Max. Image size at Printable size on 300 DPI a color printer 4 Megapixels 2272 x 1704 pixels 7.5” x 5.7” 12” x 9” 3 Megapixels 2048 x 1536 pixels 6.8” x 5” 11” x 8.5” 2 Megapixels 1600 x 1200 pixels 5.3” x 4” 6” x 4” 1 Megapixel 1024 x 768 pixels 3.5” x 2.5” 5” x 3 If you can, you generally want to shoot larger than you need, then sharpen the image and reduce its size in Photoshop. -
Do Something Important.TM
2.6X zoom in a cool, compact, capsule design with Advanced Photo System convenience. Do somethingwww.minolta.com important.TM www.minolta.com It’s All Within Your Grasp The VECTIS 260 makes picture-taking more fun for the whole family. The Advanced Photo System means easier operation and higher quality pictures, and a powerful 2.6X zoom expands your photo possibilities. Various automatic functions make it simple for everyone to take great pictures. It’s the compact camera that gives you more. ADVANCED PHOTO SYSTEM Get closer with 2.6X zoom! High-quality zoom lens adds variety to your photos. Powerful 2.6X Zoom A zoom lens this powerful gives you much greater versatility in framing your shots. You can take broad shots of the scenery, then zoom in for close-ups of the kids. The zoom range is a wide 25 — 65mm (equivalent to 31— 81mm in 35mm for- mat). For close-ups, you can move in as close as 1.64 ft. to your subject at any focal length, without having to set a special mode. Best of all, 25mm WIDE your photo will be sharp and clear, thanks to the Minolta high quality 4-element, 4-group zoom lens. 65mm TELE Greater ease and convenience Advanced Photo System makes photography more enjoyable — from start to finish! Index Prints for At-a-Glance Selection Drop-In Loading With photos this good, you’ll want to make reprints ... and now and Film Chamber Lock you can easily select the ones you want. With your pictures The ultimate in film loading you’ll receive an Index Print sheet, making it easy ease. -
Foveon FO18-50-F19 4.5 MP X3 Direct Image Sensor
® Foveon FO18-50-F19 4.5 MP X3 Direct Image Sensor Features The Foveon FO18-50-F19 is a 1/1.8-inch CMOS direct image sensor that incorporates breakthrough Foveon X3 technology. Foveon X3 direct image sensors Foveon X3® Technology • A stack of three pixels captures superior color capture full-measured color images through a unique stacked pixel sensor design. fidelity by measuring full color at every point By capturing full-measured color images, the need for color interpolation and in the captured image. artifact-reducing blur filters is eliminated. The Foveon FO18-50-F19 features the • Images have improved sharpness and immunity to color artifacts (moiré). powerful VPS (Variable Pixel Size) capability. VPS provides the on-chip capabil- • Foveon X3 technology directly converts light ity of grouping neighboring pixels together to form larger pixels that are optimal of all colors into useful signal information at every point in the captured image—no light for high frame rate, reduced noise, or dual mode still/video applications. Other absorbing filters are used to block out light. advanced features include: low fixed pattern noise, ultra-low power consumption, Variable Pixel Size (VPS) Capability and integrated digital control. • Neighboring pixels can be grouped together on-chip to obtain the effect of a larger pixel. • Enables flexible video capture at a variety of resolutions. • Enables higher ISO mode at lower resolutions. Analog Biases Row Row Digital Supplies • Reduces noise by combining pixels. Pixel Array Analog Supplies Readout Reset 1440 columns x 1088 rows x 3 layers On-Chip A/D Conversion Control Control • Integrated 12-bit A/D converter running at up to 40 MHz. -
Single-Pixel Imaging Via Compressive Sampling
© DIGITAL VISION Single-Pixel Imaging via Compressive Sampling [Building simpler, smaller, and less-expensive digital cameras] Marco F. Duarte, umans are visual animals, and imaging sensors that extend our reach— [ cameras—have improved dramatically in recent times thanks to the intro- Mark A. Davenport, duction of CCD and CMOS digital technology. Consumer digital cameras in Dharmpal Takhar, the megapixel range are now ubiquitous thanks to the happy coincidence that the semiconductor material of choice for large-scale electronics inte- Jason N. Laska, Ting Sun, Hgration (silicon) also happens to readily convert photons at visual wavelengths into elec- Kevin F. Kelly, and trons. On the contrary, imaging at wavelengths where silicon is blind is considerably Richard G. Baraniuk more complicated, bulky, and expensive. Thus, for comparable resolution, a US$500 digi- ] tal camera for the visible becomes a US$50,000 camera for the infrared. In this article, we present a new approach to building simpler, smaller, and cheaper digital cameras that can operate efficiently across a much broader spectral range than conventional silicon-based cameras. Our approach fuses a new camera architecture Digital Object Identifier 10.1109/MSP.2007.914730 1053-5888/08/$25.00©2008IEEE IEEE SIGNAL PROCESSING MAGAZINE [83] MARCH 2008 based on a digital micromirror device (DMD—see “Spatial Light Our “single-pixel” CS camera architecture is basically an Modulators”) with the new mathematical theory and algorithms optical computer (comprising a DMD, two lenses, a single pho- of compressive sampling (CS—see “CS in a Nutshell”). ton detector, and an analog-to-digital (A/D) converter) that com- CS combines sampling and compression into a single non- putes random linear measurements of the scene under view. -
One Is Enough. a Photograph Taken by the “Single-Pixel Camera” Built by Richard Baraniuk and Kevin Kelly of Rice University
One is Enough. A photograph taken by the “single-pixel camera” built by Richard Baraniuk and Kevin Kelly of Rice University. (a) A photograph of a soccer ball, taken by a conventional digital camera at 64 64 resolution. (b) The same soccer ball, photographed by a single-pixel camera. The image is de- rived× mathematically from 1600 separate, randomly selected measurements, using a method called compressed sensing. (Photos courtesy of R. G. Baraniuk, Compressive Sensing [Lecture Notes], Signal Processing Magazine, July 2007. c 2007 IEEE.) 114 What’s Happening in the Mathematical Sciences Compressed Sensing Makes Every Pixel Count rash and computer files have one thing in common: compactisbeautiful.Butifyou’veevershoppedforadigi- Ttal camera, you might have noticed that camera manufac- turers haven’t gotten the message. A few years ago, electronic stores were full of 1- or 2-megapixel cameras. Then along came cameras with 3-megapixel chips, 10 megapixels, and even 60 megapixels. Unfortunately, these multi-megapixel cameras create enor- mous computer files. So the first thing most people do, if they plan to send a photo by e-mail or post it on the Web, is to com- pact it to a more manageable size. Usually it is impossible to discern the difference between the compressed photo and the original with the naked eye (see Figure 1, next page). Thus, a strange dynamic has evolved, in which camera engineers cram more and more data onto a chip, while software engineers de- Emmanuel Candes. (Photo cour- sign cleverer and cleverer ways to get rid of it. tesy of Emmanuel Candes.) In 2004, mathematicians discovered a way to bring this “armsrace”to a halt. -
Digital Vs 35-Mm Photography to Convert Or Not to Convert?
ORIGINAL ARTICLE Digital vs 35-mm Photography To Convert or Not to Convert? Mimi S. Kokoska, MD; John W. Currens, MD; Chris S. Hollenbeak, MA; J. Regan Thomas, MD; Brendan C. Stack, Jr, MD Objectives: To compare the quality of images gener- Results: The null hypothesis that there is no difference ated from a conventional 35-mm camera with those gen- between photographs taken with the various cameras was erated from various digital cameras; and to note the costs rejected (P,.001) for each of the image attributes. The im- of the cameras and ease of use. ages produced by the 35-mm camera (Nikon 6006) had the best overall quality, followed by the Olympus D600L, Design: A prospective, randomized, independent analy- Kodak DCS 315, and Olympus D320L digital cameras. Dif- sis of specific facial images taken with a 35-mm camera ferences in individual attributes between several of the cam- and 3 digital cameras by 3 facial plastic surgeons who eras in each category were statistically significant (P,.05). were blinded to camera type. Conclusions: The 35-mm camera produced the best over- Setting: An academic medical center. all image quality and ranked first for each of the indi- vidual attributes analyzed in this study. The Olympus Subjects: Thirteen volunteer subjects ranging from age D600L digital camera placed second in overall quality, 27 to 58 years. but there was no statistically significant difference in fo- cus, distortion, and resolution compared with the im- Main Outcome Measures: The overall quality, fo- ages generated by the 35-mm camera. The Olympus cus, distortion, trueness of color, resolution, contrast, and D600L digital camera also ranked second in color, con- presence of shadows were evaluated for each image. -
Making the Transition from Film to Digital
TECHNICAL PAPER Making the Transition from Film to Digital TABLE OF CONTENTS Photography became a reality in the 1840s. During this time, images were recorded on 2 Making the transition film that used particles of silver salts embedded in a physical substrate, such as acetate 2 The difference between grain or gelatin. The grains of silver turned dark when exposed to light, and then a chemical and pixels fixer made that change more or less permanent. Cameras remained pretty much the 3 Exposure considerations same over the years with features such as a lens, a light-tight chamber to hold the film, 3 This won’t hurt a bit and an aperture and shutter mechanism to control exposure. 3 High-bit images But the early 1990s brought a dramatic change with the advent of digital technology. 4 Why would you want to use a Instead of using grains of silver embedded in gelatin, digital photography uses silicon to high-bit image? record images as numbers. Computers process the images, rather than optical enlargers 5 About raw files and tanks of often toxic chemicals. Chemically-developed wet printing processes have 5 Saving a raw file given way to prints made with inkjet printers, which squirt microscopic droplets of ink onto paper to create photographs. 5 Saving a JPEG file 6 Pros and cons 6 Reasons to shoot JPEG 6 Reasons to shoot raw 8 Raw converters 9 Reading histograms 10 About color balance 11 Noise reduction 11 Sharpening 11 It’s in the cards 12 A matter of black and white 12 Conclusion Snafellnesjokull Glacier Remnant. -
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. -
Robust Pixel Classification for 3D Modeling with Structured Light
Robust Pixel Classification for 3D Modeling with Structured Light Yi Xu Daniel G. Aliaga Department of Computer Science Purdue University {xu43|aliaga}@cs.purdue.edu ABSTRACT (a) (b) Modeling 3D objects and scenes is an important part of computer graphics. One approach to modeling is projecting binary patterns onto the scene in order to obtain correspondences and reconstruct ... ... a densely sampled 3D model. In such structured light systems, ... ... determining whether a pixel is directly illuminated by the projector is essential to decoding the patterns. In this paper, we Binary pattern structured Our pixel classification introduce a robust, efficient, and easy to implement pixel light images algorithm classification algorithm for this purpose. Our method correctly establishes the lower and upper bounds of the possible intensity values of an illuminated pixel and of a non-illuminated pixel. Correspondence and reconstruction Based on the two intervals, our method classifies a pixel by determining whether its intensity is within one interval and not in the other. Experiments show that our method improves both the quantity of decoded pixels and the quality of the final (c) (d) reconstruction producing a dense set of 3D points, inclusively for complex scenes with indirect lighting effects. Furthermore, our method does not require newly designed patterns; therefore, it can be easily applied to previously captured data. CR Categories: I.3 [Computer Graphics], I.3.7 [Three- Dimensional Graphics and Realism], I.4 [Image Processing and Computer Vision], I.4.1 [Digitization and Image Capture]. Point cloud Our improved point cloud Keywords: structured light, direct and global separation, 3D Figure 1. -
The Integrity of the Image
world press photo Report THE INTEGRITY OF THE IMAGE Current practices and accepted standards relating to the manipulation of still images in photojournalism and documentary photography A World Press Photo Research Project By Dr David Campbell November 2014 Published by the World Press Photo Academy Contents Executive Summary 2 8 Detecting Manipulation 14 1 Introduction 3 9 Verification 16 2 Methodology 4 10 Conclusion 18 3 Meaning of Manipulation 5 Appendix I: Research Questions 19 4 History of Manipulation 6 Appendix II: Resources: Formal Statements on Photographic Manipulation 19 5 Impact of Digital Revolution 7 About the Author 20 6 Accepted Standards and Current Practices 10 About World Press Photo 20 7 Grey Area of Processing 12 world press photo 1 | The Integrity of the Image – David Campbell/World Press Photo Executive Summary 1 The World Press Photo research project on “The Integrity of the 6 What constitutes a “minor” versus an “excessive” change is necessarily Image” was commissioned in June 2014 in order to assess what current interpretative. Respondents say that judgment is on a case-by-case basis, practice and accepted standards relating to the manipulation of still and suggest that there will never be a clear line demarcating these concepts. images in photojournalism and documentary photography are world- wide. 7 We are now in an era of computational photography, where most cameras capture data rather than images. This means that there is no 2 The research is based on a survey of 45 industry professionals from original image, and that all images require processing to exist. 15 countries, conducted using both semi-structured personal interviews and email correspondence, and supplemented with secondary research of online and library resources. -
L E N S E S & a C C E S S O R I
P. 4 P. 5 P. 6 P. 7 Scott Grant / Hai Tre / Jeff Carter / Gathot Subroto / Canada Vietnam UK Indonesia P. 8 P. 9 P.10 Matt Hart / Bert Stephani / Max De Martino / UK Belgium Italy P.11 P.12 P.13 P.14 Omar Z Robles / Simone Sbarglia / Pål Laukli / LS Trung / U.S.A. Italy Norway Vietnam P.15 P.16 P.17 Yonghui Wang / Supalerk Fabian De Backer / China Narubetkrausee / Belgium Thailand P.18 P.19 P.20 Taeyoung An / Joe Ng / Chalit Padoongcheep / Korea Canada Thailand P.21 P.21 Torwong Salwala / Giulia Torra / Thailand Italy Cover_P.2-3 Jonas Dyhr Rask / Denmark Specifications are subject to change without notice. LENSES & ACCESSORIES For more information, please visit our website: http://www.http://fujifilm-x.com/en/accessories/ c 2016 FUJIFILM Corporation P2-3/P36 The vision of the X Series, the choice for X Series owners A collection of creativity-oriented lenses, which complement the X-Trans CMOS sensor perfectly and eliminate the low-pass filter for ultimate sharpness. X Mount Lenses _ P.4-21 Accessories _ P.23-29 Technology _ P.30-33 Specifications _ P.34-35 2 3 P4-5/P36 XF14mmF2.8 R XF16mmF1.4 R WR X-T2 : F11 1/4 sec. ISO200 Scott Grant / Canada High resolving power across the frame from the centre to the edges. This ultra-wide-angle lens, which has a diagonal angle of view greater than 90°, produces extraordinary images. Distortion has been kept to a measured value of zero, with sharpness right across the frame, even when the subject is near the edges. -
Digital Camera Math! 37
Digital Camera Math! 37 Digital cameras are everywhere! They are in your cell phones, computers, iPads and countless other applications that you may not even be aware of. In astronomy, digital cameras were first developed in the 1970s to replace and extend photographic film techniques for detecting faint objects. Digital cameras are not only easy to operate and require no chemicals to make the images, but the data is already in digital form so that computers can quickly process the images. Commercially, digital cameras are referred to by the total number of pixels they contain. A ‘1 This is a 9200x9200 image sensor for a digital megapixel camera’ can have a square-shaped camera. The grey area contains the individual sensor with 1024x1024 pixels. This says nothing ‘pixel’ elements. Each square pixel is about 8 about the sensitivity of the camera, only how big an micrometers (8 microns) wide, and is sensitive image it can create from the camera lenses. to light. The pixels accumulate electrons as Although the largest commercial digital camera has light falls on them, and computers read out 80 megapixels in a 10328x7760 format, the largest each pixel and create the picture. astronomical camera developed for the Large Synoptic Survey Telescope uses 3200 megapixels (3.2 gigapixels)! Problem 1 – An amateur astronomer purchases a 6.1 megapixel digital camera. The sensor measures 20 mm x 20 mm. What is the format of the CCD sensor, and about how wide are each of the pixels in microns? Problem 2 – Suppose that with the telescope optical system, the entire full moon will fit inside the square CCD sensor.