Accession Number : ADA294600
Title : New Methods in Image Compression Using Multi-Level Transforms and Adaptive Statistical Encoding.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH
Personal Author(s) : Pike, Thomas W.
PDF Url : ADA294600
Report Date : MAY 1995
Pagination or Media Count : 171
Abstract : The need to meet the demand for high quality digital images, with comparatively modest storage requirements, is driving the development of new image compression techniques. This demand has spurred new techniques based on time to frequency spatial transformation methods. At the core of these methods are a family of transformations built on basis sets called "wavelets." The wavelet transform permits an image to be represented in a substantially reduced space by transferring the energy of the image to a smaller set of coefficients. Although these techniques are lossy as the compression ratio rises, very adequate reconstructions can be made from surprisingly small sets of coefficients. This work explores the transformation process, storage of the representation and the application of these techniques to 24-bit color images. A working color image compression model is illustrated.
Descriptors : *IMAGE PROCESSING, *COLORS, *DATA COMPRESSION, FREQUENCY, REQUIREMENTS, DIGITAL SYSTEMS, SPATIAL DISTRIBUTION, METHODOLOGY, ENERGY, STATISTICS, THESES, CODING, COEFFICIENTS, ADAPTIVE SYSTEMS, STORAGE, TRANSFORMATIONS, COMPRESSION RATIO.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE