Minimum description length criterion for region-based video compression
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Contour Encoding Based on Extraction of Key Points Using Wavelet Transform
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Standard Codecs: Image Compression to Advanced Video Coding
Standard Codecs: Image Compression to Advanced Video Coding
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Shiftable multiscale transforms
IEEE Transactions on Information Theory - Part 2
Optimal buffered compression and coding mode selection for MPEG-4 shape coding
IEEE Transactions on Image Processing
JBEAM: multiscale curve coding via beamlets
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
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-4 standardized methods for the compression of arbitrarily shaped video objects
IEEE Transactions on Circuits and Systems for Video Technology
A Unified Approach of Bit-Rate Control for Binary and Gray-Level Shape Sequences Coding
IEEE Transactions on Circuits and Systems for Video Technology
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Due to their abilities to succinctly capture features at different scales and directions, wavelet-based decomposition or representation methods have found wide use in image analysis, restoration, and compression. While there has been a drive to increase the representation ability of these methods via directional filters or elongated basis functions, they still have been focused on essentially piecewise linear representation of curves in images. We propose to extend the line-based dictionary of the beamlet framework to one that includes sets of arcs that are quantized in height. The proposed chordlet dictionary has elements that are constrained at their endpoints and limited in curvature by system rate or distortion constraints. This provides a more visually natural representation of curves in images and, furthermore, it is shown that for a class of images the chordlet representation is more efficient than the beamlet representation under tight distortion constraints. A data structure, the fat quadtree and an algorithm for determining an optimal chordlet representation of an image are proposed. Codecs have been implemented to illustrate applications to both lossy and lossless low bitrate compressions of binary edge images, and better rate or rate-distortion performance over the JBIG2 standard and a beamlet-based compression method are demonstrated.