DocumentCode :
3196826
Title :
A hybrid method for estimating the Euclidean distance between two vectors
Author :
Chang, Chin-Chen ; Lu, Po-Wen ; Hsiao, Ju-Yuan
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ. Chiayi, Taiwan
fYear :
2002
fDate :
2002
Firstpage :
183
Lastpage :
190
Abstract :
We propose an alternative method for estimating the Euclidean distance between an image block and a codeword. Our method incorporates the reduced code look-up table (RCLUT) method with an RCLUT-like method to allow alternative selection in the encoding phase in vector quantization (VQ). This method can speed up computation for distance estimation. It provides better image quality than the RCLUT method at the cost of extra storage. According to experimental results, our method provides better image quality than the RCLUT method.
Keywords :
image coding; table lookup; vector quantisation; Euclidean distance estimation; codeword; encoding phase; image block; image quality; reduced code look-up table method; selection; storage; vector quantization; Computer science; Data compression; Encoding; Euclidean distance; Image coding; Image quality; Image storage; Table lookup; Tree data structures; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber Worlds, 2002. Proceedings. First International Symposium on
Print_ISBN :
0-7695-1862-1
Type :
conf
DOI :
10.1109/CW.2002.1180878
Filename :
1180878
Link To Document :
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