Wavelets and subband coding
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
A simple and efficient hierarchical image coder
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
SBHP-a low complexity wavelet coder
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
IEEE Transactions on Computers
Quantifying the Coding Performance of Zerotrees of Wavelet Coefficients: Degree-k Zerotree
IEEE Transactions on Signal Processing
An image multiresolution representation for lossless and lossy compression
IEEE Transactions on Image Processing
Group testing for image compression
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Efficient, low-complexity image coding with a set-partitioning embedded block coder
IEEE Transactions on Circuits and Systems for Video Technology
Wavelet compression with set partitioning for low bandwidth telemetry from AUVs
Proceedings of the Fifth ACM International Workshop on UnderWater Networks
Motion differential set partition coding for image sequence and video compression
Journal of Visual Communication and Image Representation
Distributed video coding with progressive significance map
Journal of Visual Communication and Image Representation
| Hi-index | 0.00 |
The purpose of this two-part monograph is to present a tutorialon set partition coding, with emphasis and examples on imagewavelet transform coding systems, and describe their use in modernimage coding systems. Set partition coding is a procedure thatrecursively splits groups of integer data or transform elementsguided by a sequence of threshold tests, producing groups ofelements whose magnitudes are between two known thresholds,therefore, setting the maximum number of bits required for theirbinary representation. It produces groups of elements whosemagnitudes are less than a certain known threshold. Therefore, thenumber of bits for representing an element in a particular group isno more than the base-2 logarithm of its threshold rounded up tothe nearest integer. SPIHT (Set Partitioning in Hierarchical Trees)and SPECK (Set Partitioning Embedded blocK) are popularstate-of-the-art image coders that use set partition coding as theprimary entropy coding method. JPEG2000 and EZW (Embedded ZerotreeWavelet) use it in an auxiliary manner. Part I elucidates thefundamentals of set partition coding and explains the setting ofthresholds and the block and tree modes of partitioning. Algorithmsare presented for the techniques of AGP (Amplitude and GroupPartitioning), SPIHT, SPECK, and EZW. Numerical examples are workedout in detail for the latter three techniques. Part II describesvarious wavelet image coding systems that use set partitioningprimarily, such as SBHP (Subband Block Hierarchical Partitioning),SPIHT, and EZBC (Embedded Zero-Block Coder). The basic JPEG2000coder is also described. The coding procedures and the specificmethods are presented both logically and in algorithmic form, wherepossible. Besides the obvious objective of obtaining small filesizes, much emphasis is placed on achieving low computationalcomplexity and desirable output bitstream attributes, such asembeddedness, scalability in resolution, and random accessdecodability.This monograph is extracted and adapted from the forthcomingtextbook entitled Digital Signal Compression: Principles andPractice by William A. Pearlman and Amir Said, CambridgeUniversity Press, 2009.