Title :
Improved Huffmann code tables for still and video image encoders
Author :
Lakhani, Gopal ; Ayyagari, Vamsi
Author_Institution :
Texas Tech. Univ., Lubbock, TX, USA
Abstract :
Deals with the Huffman encoding phase of two well-known compression encoders, one that of the baseline algorithm proposed by JPEG for the compression of still images, and the other that of the H.261 based video encoder. We identify two types of minor redundancies in the input to the encoding phase, and present alternative Huffman code tables. Simulation results on still picture compressions indicate that the proposed redundancy reduction leads to an improvement of the order of 3.35% in the size of the image compressed at 75% quality level, and 5.3% when compressed at the 50% quality level, on the average
Keywords :
Huffman codes; data compression; image coding; redundancy; H.261 based video encoder; Huffmann code tables; JPEG baseline algorithm; compression encoders; image encoders; input redundancy reduction; quality level; simulation; still image compression; Biomedical imaging; Brightness; Decorrelation; Discrete cosine transforms; Discrete transforms; Encoding; Image coding; Pixel; Statistics; Streaming media;
Conference_Titel :
Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on
Conference_Location :
Lubbock, TX
Print_ISBN :
0-8186-7117-3
DOI :
10.1109/CBMS.1995.465432