A Guide to Image Preparation for Multiple Media Ai-Leen Chiu
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Color Models
Color Models Jian Huang CS456 Main Color Spaces • CIE XYZ, xyY • RGB, CMYK • HSV (Munsell, HSL, IHS) • Lab, UVW, YUV, YCrCb, Luv, Differences in Color Spaces • What is the use? For display, editing, computation, compression, …? • Several key (very often conflicting) features may be sought after: – Additive (RGB) or subtractive (CMYK) – Separation of luminance and chromaticity – Equal distance between colors are equally perceivable CIE Standard • CIE: International Commission on Illumination (Comission Internationale de l’Eclairage). • Human perception based standard (1931), established with color matching experiment • Standard observer: a composite of a group of 15 to 20 people CIE Experiment CIE Experiment Result • Three pure light source: R = 700 nm, G = 546 nm, B = 436 nm. CIE Color Space • 3 hypothetical light sources, X, Y, and Z, which yield positive matching curves • Y: roughly corresponds to luminous efficiency characteristic of human eye CIE Color Space CIE xyY Space • Irregular 3D volume shape is difficult to understand • Chromaticity diagram (the same color of the varying intensity, Y, should all end up at the same point) Color Gamut • The range of color representation of a display device RGB (monitors) • The de facto standard The RGB Cube • RGB color space is perceptually non-linear • RGB space is a subset of the colors human can perceive • Con: what is ‘bloody red’ in RGB? CMY(K): printing • Cyan, Magenta, Yellow (Black) – CMY(K) • A subtractive color model dye color absorbs reflects cyan red blue and green magenta green blue and red yellow blue red and green black all none RGB and CMY • Converting between RGB and CMY RGB and CMY HSV • This color model is based on polar coordinates, not Cartesian coordinates. -
Digital Still Camera Image File Format Standard
Digital Still Camera Image File Format Standard (Exchangeable image file format for Digital Still Cameras: Exif) Version 2.1 June 12, 1998 Japan Electronic Industry Development Association (JEIDA) This standard makes no warranty, express or implied, with respect to the use of any intellectual property, such as patents, copyrights and trademarks, belonging to any corporation or individual. Nor does this standard make any warranty regarding system reliability or product liability. Windows™ is a registered trademark of Microsoft Corporation in the United States and elsewhere. FlashPix™ is a registered trademark of Eastman Kodak Company. Revision History This "Digital Still Camera Image File Format Standard" is issued as a standard for the image file format (Exif: Exchangeable image file format) used in digital still cameras and related systems. It was first published in October 1996 as Version 1.0i. Then in May 1997, Version 1.1ii was issued, adding specifications for optional attribute information as well as stipulations relating to format implementation, in addition to the mandatory specifications of Version 1.0. The desire for a uniform file format standard for the image data stored by digital still cameras has increased as these cameras have grown in popularity. At the same time, with the broadening application of this technology, a similar desire has arisen for uniformity of the attribute information that can be recorded in a file. The Version 2.0iii makes improvements to the Exif format for greater ease of use, while allowing for backward compatibility with products of manufacturers currently implementing Exif Version 1.x or considering its future implementation. -
Indexed Color
Indexed Color A browser may support only a certain number of specific colors, creating a palette from which to choose Figure 3.11 The Netscape color palette 1 QUIZ How many bits are needed to represent this palette? Show your work. 2 How to digitize a picture • Sample it → Represent it as a collection of individual dots called pixels • Quantize it → Represent each pixel as one of 224 possible colors (TrueColor) Resolution = The # of pixels used to represent a picture 3 Digitized Images and Graphics Whole picture Figure 3.12 A digitized picture composed of many individual pixels 4 Digitized Images and Graphics Magnified portion of the picture See the pixels? Hands-on: paste the high-res image from the previous slide in Paint, then choose ZOOM = 800 Figure 3.12 A digitized picture composed of many individual pixels 5 QUIZ: Images A low-res image has 200 rows and 300 columns of pixels. • What is the resolution? • If the pixels are represented in True-Color, what is the size of the file? • Same question in High-Color 6 Two types of image formats • Raster Graphics = Storage on a pixel-by-pixel basis • Vector Graphics = Storage in vector (i.e. mathematical) form 7 Raster Graphics GIF format • Each image is made up of only 256 colors (indexed color – similar to palette!) • But they can be a different 256 for each image! • Supports animation! Example • Optimal for line art PNG format (“ping” = Portable Network Graphics) Like GIF but achieves greater compression with wider range of color depth No animations 8 Bitmap format Contains the pixel color -
Dell Ultrasharp Premiercolor Monitors Brochure (EN)
Dell UltraSharp PremierColor Monitors BRING YOUR VISION TO LIFE Engineered to meet the demands of creative professionals, Dell UltraSharp PremierColor Monitors push the boundaries of monitor technology to deliver exceptional performance that sets the standard for today’s digital creators. Choose Dell UltraSharp PremierColor monitors for the tools you need that help bring your vision to life. Learn more at Dell.com/UltraSharp See everything. Do anything. VISUALS THAT RIVAL REAL LIFE High resolution Dell See visuals with astounding clarity on UltraSharp PremierColor these high resolution monitors, up to Monitors set the standard Ultra HD 8K resolution. These monitors feature IPS (In-Plane Switching) panel technology for consistent color and picture for creative professionals. quality across a wide 178°/178° viewing angle. Count on a wide color gamut, incredible color THE COLORS YOU NEED depth, powerful calibration Dell UltraSharp PremierColor Monitors oer a wide color capabilities, and consistent, coverage across professional color spaces, including AdobeRGB, accurate colors. Bringing sRGB, Rec. 709, as well as the widest DCI-P3 color coverage in a professional monitor at 99.8%*. This enables support everything you need in a for projects across dierent formats, making UltraSharp monitor for all your color- PremierColor monitors the ideal choice for photographers, lm critical projects. and video creators, animators, VFX artists and more. Features vary by model. Please visit dell.com/monitors for details. Dell UltraSharp PremierColor Monitors INCREDIBLE COLOR DEPTH AND CONTRAST Get amazingly smooth color gradients and precision across more shades with an incredible color depth of 1.07 billion colors and true 10 bit color**. -
Color Combinations and Contrasts
COLOR COMBINATIONS AND CONTRASTS Full Value Color Combinations Above are 18 color combinations tested for visibility, using primary and secondary colors, of full hue and value. Visibility is ranked in the sequence shown, with 1 being the most visible and 18 being the least visible. Readability It is essential that outdoor designs are easy to read. Choose colors with high contrast in both hue and value. Contrasting colors are viewed well from great distances, while colors with low contrast will blend together and obscure a message. In fact, research demonstrates that high color contrast can improve outdoor advertising recall by 38 percent. A standard color wheel clearly illustrates the importance of contrast, hue and value. Opposite colors on the wheel are complementary. An example is red and green (as shown above). They respresent a good contrast in hue, but their values are similar. It is difficult for the human eye to process the wavelength variations associated with complementary colors. Therefore, a quivering or optical distortion is sometimes detected when two complemen- tary colors are used in tandem. Adjacent colors, such as blue and green, make especially poor combinations since their contrast is similar in both hue and value. As a result, adjacent colors create contrast that is hard to discern. Alternating colors, such as blue and yellow, produce the best combinations since they have good contrast in both hue and value. Black contrasts well with any color of light value and white is a good contrast with colors of dark value. For example, yellow and black are dissimilar in the contrast of both hue and value. -
Effects of Color Depth
EFFECTS OF COLOR DEPTH By Tom Kopin – CTS, ISF-C MARCH 2011 KRAMER WHITE PAPER WWW.KRAMERELECTRONICS.COM TABLE OF CONTENTS WHAT IS COLOR DEPTH? ...................................................................................1 DEEP COLOR ......................................................................................................1 CALCULATING HDMI BANDWIDTH ......................................................................1 BLU-RAY PLAYERS AND DEEP COLOR .................................................................3 THE SOLUTIONS .................................................................................................3 SUMMARY ..........................................................................................................4 The first few years of HDMI in ProAV have been, for lack of a better word, unpredictable. What works with one display doesn’t work with another. Why does HDMI go 50ft out of this source, but not that source? The list is endless and comments like this have almost become commonplace for HDMI, but why? Furthermore, excuses have been made in order to allow ambiguity to remain such as, "All Blu-ray players are not made equally, because their outputs must have different signal strength." However, is this the real reason? While the real answers may not truly be known, understanding how color depth quietly changes our HDMI signals will help make HDMI less unpredictable. What is Color Depth? Every HDMI signal has a color depth associated with it. Color depth defines how many different colors can be represented by each pixel of a HDMI signal. A normal HDMI signal has a color depth of 8 bits per color. This may also be referred to as 24-bit color (8-bits per color x 3 colors RGB). The number of bits refers to the amount of binary digits used to determine the maximum number of colors that can be rendered. For example, the maximum number of colors for 24-bit color would be: 111111111111111111111111(binary) = 16,777,215 = 16.7 million different colors. -
ALL ABOUT COLOR March 2020 USA Version CONTENTS CHAPTER 1
ALL ABOUT COLOR March 2020 USA Version CONTENTS CHAPTER 1 WHO IS GOLDWELL CHAPTER 1 | WHO IS GOLDWELL | 4 WHO IS GOLDWELL 1948 1956 1970 1971 1976 FOUNDED BY SPRÜHGOLD OXYCUR TOP MODEL AIR FOAMED HANS ERICH DOTTER HAIRSPRAY PLATIN BLEACHING TOPCHIC PERMANENT PERM POWDER HAIR COLOR Focusing on hairdressers as business partners, Dotter launched the first Goldwell product: Goldwell Ideal, the innovative cold perm, which was to be followed by a never-ending flow of innovations. CHAPTER 1 | WHO IS GOLDWELL | 5 1978 1986 2001 2008 2009 2010 TOPCHIC COLORANCE ELUMEN DUALSENSES SILKLIFT STYLESIGN PERMANENT HAIR COLOR DEMI-PERMANENT NON-OXIDATIVE INSTANT SOLUTIONS HIGH PERFORMANCE FROM STYLISTS DEPOT SYSTEM HAIR COLOR HAIR COLOR HAIR CARE LIGHTENER FOR STYLISTS CHAPTER 1 | WHO IS GOLDWELL | 6 2012 2013 2015 2016 2018 NECTAYA KERASILK SILKLIFT CONTROL KERASILK COLOR SYSTEM AMMONIA-FREE KERATIN LIFT AND TONE LUXURY WITH @PURE PIGMENTS PERMANENT TREATMENT CONTROL HAIR CARE ELUMENATED COLOR HAIR COLOR ADDITIVES CHAPTER 2 WE THINK STYLIST CHAPTER 2 | WE THINK STYLIST | 8 WE THINK STYLIST BRAND STATEMENT We embrace your passion for beautiful hair. We believe that only together we can reach new heights by achieving creative excellence, outstanding client satisfaction and salon success. We do more than just understand you. We think like you. WE THINK STYLIST. CHAPTER 2 | WE THINK STYLIST | 9 GOLDWELL HAIR COLOR THE MOST INTELLIGENT AND COLOR CARING SYSTEM FOR CREATING AND MAINTAINING VIBRANT HEALTHY HAIR » Every day, we look at the salon experience through the eyes of a stylist – developing tools, color technology and innovations that fuel the creativity, streamline the work, and keep the clients looking and feeling fantastic. -
A New Steganographic Method for Palette-Based Images
IS&T's 1999 PICS Conference A New Steganographic Method for Palette-Based Images Jiri Fridrich Center for Intelligent Systems, SUNY Binghamton, Binghamton, New York Abstract messages. The gaps in human visual and audio systems can be used for information hiding. In the case of images, the In this paper, we present a new steganographic technique human eye is relatively insensitive to high frequencies. This for embedding messages in palette-based images, such as fact has been utilized in many steganographic algorithms, GIF files. The new technique embeds one message bit into which modify the least significant bits of gray levels in one pixel (its pointer to the palette). The pixels for message digital images or digital sound tracks. Additional bits of embedding are chosen randomly using a pseudo-random information can also be inserted into coefficients of image number generator seeded with a secret key. For each pixel transforms, such as discrete cosine transform, Fourier at which one message bit is to be embedded, the palette is transform, etc. Transform techniques are typically more searched for closest colors. The closest color with the same robust with respect to common image processing operations parity as the message bit is then used instead of the original and lossy compression. color. This has the advantage that both the overall change The steganographer’s job is to make the secretly hidden due to message embedding and the maximal change in information difficult to detect given the complete colors of pixels is smaller than in methods that perturb the knowledge of the algorithm used to embed the information least significant bit of indices to a luminance-sorted palette, except the secret embedding key.* This so called such as EZ Stego.1 Indeed, numerical experiments indicate Kerckhoff’s principle is the golden rule of cryptography and that the new technique introduces approximately four times is often accepted for steganography as well. -
Rethinking Color Cameras
Rethinking Color Cameras Ayan Chakrabarti William T. Freeman Todd Zickler Harvard University Massachusetts Institute of Technology Harvard University Cambridge, MA Cambridge, MA Cambridge, MA [email protected] [email protected] [email protected] Abstract Digital color cameras make sub-sampled measurements of color at alternating pixel locations, and then “demo- saick” these measurements to create full color images by up-sampling. This allows traditional cameras with re- stricted processing hardware to produce color images from a single shot, but it requires blocking a majority of the in- cident light and is prone to aliasing artifacts. In this paper, we introduce a computational approach to color photogra- phy, where the sampling pattern and reconstruction process are co-designed to enhance sharpness and photographic speed. The pattern is made predominantly panchromatic, thus avoiding excessive loss of light and aliasing of high spatial-frequency intensity variations. Color is sampled at a very sparse set of locations and then propagated through- out the image with guidance from the un-aliased luminance channel. Experimental results show that this approach often leads to significant reductions in noise and aliasing arti- facts, especially in low-light conditions. Figure 1. A computational color camera. Top: Most digital color cameras use the Bayer pattern (or something like it) to sub-sample 1. Introduction color alternatingly; and then they demosaick these samples to create full-color images by up-sampling. Bottom: We propose The standard practice for one-shot digital color photog- an alternative that samples color very sparsely and is otherwise raphy is to include a color filter array in front of the sensor panchromatic. -
Understanding Image Formats and When to Use Them
Understanding Image Formats And When to Use Them Are you familiar with the extensions after your images? There are so many image formats that it’s so easy to get confused! File extensions like .jpeg, .bmp, .gif, and more can be seen after an image’s file name. Most of us disregard it, thinking there is no significance regarding these image formats. These are all different and not cross‐ compatible. These image formats have their own pros and cons. They were created for specific, yet different purposes. What’s the difference, and when is each format appropriate to use? Every graphic you see online is an image file. Most everything you see printed on paper, plastic or a t‐shirt came from an image file. These files come in a variety of formats, and each is optimized for a specific use. Using the right type for the right job means your design will come out picture perfect and just how you intended. The wrong format could mean a bad print or a poor web image, a giant download or a missing graphic in an email Most image files fit into one of two general categories—raster files and vector files—and each category has its own specific uses. This breakdown isn’t perfect. For example, certain formats can actually contain elements of both types. But this is a good place to start when thinking about which format to use for your projects. Raster Images Raster images are made up of a set grid of dots called pixels where each pixel is assigned a color. -
Compression for Great Video and Audio Master Tips and Common Sense
Compression for Great Video and Audio Master Tips and Common Sense 01_K81213_PRELIMS.indd i 10/24/2009 1:26:18 PM 01_K81213_PRELIMS.indd ii 10/24/2009 1:26:19 PM Compression for Great Video and Audio Master Tips and Common Sense Ben Waggoner AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Focal Press is an imprint of Elsevier 01_K81213_PRELIMS.indd iii 10/24/2009 1:26:19 PM Focal Press is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA Linacre House, Jordan Hill, Oxford OX2 8DP, UK © 2010 Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions . This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). Notices Knowledge and best practice in this fi eld are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary. Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. -
HD-SDI, HDMI, and Tempus Fugit
TECHNICALL Y SPEAKING... By Steve Somers, Vice President of Engineering HD-SDI, HDMI, and Tempus Fugit D-SDI (high definition serial digital interface) and HDMI (high definition multimedia interface) Hversion 1.3 are receiving considerable attention these days. “These days” really moved ahead rapidly now that I recall writing in this column on HD-SDI just one year ago. And, exactly two years ago the topic was DVI and HDMI. To be predictably trite, it seems like just yesterday. As with all things digital, there is much change and much to talk about. HD-SDI Redux difference channels suffice with one-half 372M spreads out the image information The HD-SDI is the 1.5 Gbps backbone the sample rate at 37.125 MHz, the ‘2s’ between the two channels to distribute of uncompressed high definition video in 4:2:2. This format is sufficient for high the data payload. Odd-numbered lines conveyance within the professional HD definition television. But, its robustness map to link A and even-numbered lines production environment. It’s been around and simplicity is pressing it into the higher map to link B. Table 1 indicates the since about 1996 and is quite literally the bandwidth demands of digital cinema and organization of 4:2:2, 4:4:4, and 4:4:4:4 savior of high definition interfacing and other uses like 12-bit, 4096 level signal data with respect to the available frame delivery at modest cost over medium-haul formats, refresh rates above 30 frames per rates. distances using RG-6 style video coax.