Image Data Compression
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JPEG
Author: William B. Pennebaker
language: en
Publisher: Springer Science & Business Media
Release Date: 1992-12-31
Created by the Joint Photographic Experts Group (JPEG), the JPEG standard is the first color still image data compression international standard. This new guide to JPEG and its technologies offers detailed information on the new JPEG signaling conventions and the structure of JPEG compressed data.
A Study of Color Image Data Compression
"The space which black and white or color images require to be stored introduces one of the biggest problems in the field of Graphic Arts. A solution to this problem is offered through the use of software programs that compress the data of a scanned image. Compressing images without any consideration can create other problems. These problems arise because each image has a different structure . It is possible to classify images into three main categories using as a criterion the frequencies the images contain. The first category includes images that contain high frequencies -a lot of detail and very small uniform areas. The second category includes images with fewer frequencies - less detail and larger uniform areas. The third includes images with low frequencies - just a few (or no) details and large uniform areas. The main goal of this study was to set compression ratio standards according to the structure of the images. A software program that does data compression was used. Three 35 mm slides were used as well. The slides have been chosen carefully so that the main topics were composed of frequencies in distinct ranges. All of the images were scanned at 300 pixels per inch. Then all of the images were compressed at three specific compression ratios (5:1, 8:1, and 14:1) and then printed. Output size was 5x7 inches, the resolution was 256 dpi, and halftones were 150 lines per inch (LPI). A group of forty people (twenty professionals and twenty novices) compared the control image (non compressed image) with each of the compressed images. The Chi square test was used to analyze the data. The results indicate that it is acceptable to compress images with low detail (like the image Shaving Material) and medium detail (like the image Three Amigos) up to fourteen to one (14:1), because any loss of data is apparently not detectable by the human eye. On the other hand, images which contain a lot of detail (like the image Doll), can not be compressed using the above (14:1) compression ratio without any loss of information being detected. However these images can be compressed up to 8:1, and any loss of detail up to this compression ratio will not be detected."--Abstract.
Document and Image Compression
Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding. Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.