Image vector quantization using geometric transform and lossless index coding

2013 ◽  
Vol 52 (3) ◽  
pp. 037402 ◽  
Author(s):  
Yu-Chen Hu ◽  
Chia-Hsien Wen ◽  
Chun-Chi Lo ◽  
Wu-Lin Chen
2003 ◽  
Vol 49 (4) ◽  
pp. 1513-1520 ◽  
Author(s):  
Pei-Yin Chen ◽  
Ren-Der Chen

Author(s):  
Noritaka Shigei ◽  
◽  
Hiromi Miyajima ◽  
Michiharu Maeda ◽  
Lixin Ma ◽  
...  

Multiple-VQ methods generate multiple independent codebooks to compress an image by using a neural network algorithm. In the image restoration, the methods restore low quality images from the multiple codebooks, and then combine the low quality ones into a high quality one. However, the naive implementation of these methods increases the compressed data size too much. This paper proposes two improving techniques to this problem: “index inference” and “ranking based index coding.” It is shown that index inference and ranking based index coding are effective for smaller and larger codebook sizes, respectively.


2010 ◽  
Vol 130 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Hiroki Matsumoto ◽  
Fumito Kichikawa ◽  
Kazuya Sasazaki ◽  
Junji Maeda ◽  
Yukinori Suzuki

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