Pyramid image coder using block-template-matching algorithm
Farhad Keissarian, Mohammad F. Daemi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
In this paper, a new image coding technique is introduced first. Its inclusion in a pyramidal representation is presented afterwards. In the proposed stand-alone coding algorithm, referred to as Block template Matching, an image is block coded according to the type of individual blocks. A novel classifier, which is designed based on the histogram analysis of blocks is employed to classify the image blocks according to their level of visual activity. Each block is then represented by a set of parameters associated with the pattern appearing inside the block. The use of these parameters at the receiver reduces the cost of reconstruction significantly and exploits the efficiency of the proposed technique. The coding efficiency of the proposed technique along with the low computational complexity and simple parallel implementation of the pyramid approach allows for a high compression ratio as well as a good image quality. Satisfactory coded images have been obtained at bit rates in the range of 0.30 - 0.35 bits per pixel.