Title :
Reducing blocking artifacts within vector quantization algorithms
Author :
Robers, Marshall A. ; Katsaggelos, Aggelos K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fDate :
11/1/1997 12:00:00 AM
Abstract :
Vector quantization (VQ) provides a fast, low-power image compression technique for video communication products. However, since VQ techniques operate on each block of the image separately, they have been criticized for producing visually-disturbing blocking artifacts, especially at low bit rates. We present a VQ technique which uses hexagonally-shaped vectors to greatly reduce blocking artifacts. The effectiveness of the technique is demonstrated experimentally
Keywords :
vector quantisation; video coding; visual communication; VQ; blocking artifacts reduction; hexagonally-shaped vectors; image compression; low bit rates; low-power image compression; vector quantization algorithms; video communication products; Bit rate; Decoding; Encoding; Energy consumption; Image coding; Product design; Streaming media; Table lookup; Vector quantization; Video compression;
Journal_Title :
Consumer Electronics, IEEE Transactions on