A new adaptive vertex-based binary shape coding technique
Image and Vision Computing
A hybrid lossless compression technique with segmentation and modified arithmetic coding
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
An automatic bi-channel compression technique for medical images
International Journal of Robotics and Automation
Image compression with downsampling and overlapped transform at low bit rates
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Efficient adaptive-shape partitioning of video
Multimedia Tools and Applications
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We introduce a formula to compute an optimum 2-D shape-adaptive Karhunen-Loeve transform (KLT) suitable for coding pels in arbitrarily-shaped image segments. The efficiency of the KLT on a 2-D AR(1) process is used to benchmark two other shape-adaptive transforms described in literature. It is shown that the optimum KLT significantly outperforms the well known shape-adaptive DCT method introduced by Gilge et al. (1989) for coding Segments of arbitrary shape in intraframe coding mode. A statistical transform gain close to the Gilge-method can be achieved with a shape-adaptive DCT algorithm introduced by Sikora and Makai (see Proc. Workshop Image Anal. Image Coding, Berlin, FRG, Nov. 1993) which is implemented with much lower complexity