Title :
Tree-structured scene adaptive coder
Author_Institution :
Siemens AG, Munchen, West Germany
fDate :
4/1/1990 12:00:00 AM
Abstract :
A new type of scene adaptive coder has been developed. It involves a quadtree mean decomposition of the motion-compensated frame-to-frame difference signal followed by a scalar quantization of the local means. As a fundamental property, the new coding algorithm treats the displacement estimation problem and the quadtree construction problem as a unit. The displacement vector and the related quadtree are jointly optimized in order to minimize the direct frame-to-frame update information rate (in bits), which turns up as a new and more adequate cost function in displacement estimation. This guarantees the highest possible data compression ratio at a given quality threshold. Excellent results have been obtained for coding of color image sequences at a rate of 64 kb/s. The quadtree concept entails a much lower computational complexity compared to the conventional motion-compensated transform coder while achieving a subjective image quality that is as good or better than that of the traditional transform-based counterpart
Keywords :
computational complexity; computerised picture processing; data compression; encoding; pulse-code modulation; videotelephony; 64 kbit/s; color image sequences; data compression ratio; displacement estimation problem; lower computational complexity; motion-compensated frame-to-frame difference signal; quadtree construction problem; quadtree mean decomposition; quadtree structured DPCM; scalar quantization; scene adaptive coder; subjective image quality; video telephony; Cost function; Data compression; Image coding; Image sequences; Information rates; Layout; Pulse modulation; Quantization; TV; Transform coding;
Journal_Title :
Communications, IEEE Transactions on