AN APPROXIMATE INVERSE DISCRETE COSINE TRANSFORM FOR SCALABLE COMPUTATION COMPLEXITY VIDEO AND STILL IMAGE DECODING

摘要

A method of scaling image and video processing computational complexity according to the maximum available quantities of computational includes performing a plurality of data multiplications which processes digital image and video data, the performance of each data multiplication requiring a predetermined quantity of computational resource units; selecting one of the data multiplications; selecting a shift/add-, a shift/subtract or a shift-operation using a data independent value associated with the selected multiplication that requires a quantity of computational resource units which is less than the predetermined quantity of computational resource units required for performing the selected multiplication; and performing the selected multiplication with the selected operation. Also, a decoder which scales video and still image decoding computational complexity with available computational resources according to the above method.