CODEBOOK ENHANCEMENT FOR VECTOR QUANTIZATION USING MINMAX VALUES FOR IMAGE COMPRESSION

Autor:	S. Vimala
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	Image Compression Codebook Training Set High Detail Block PSNR Telecommunication TK5101-6720 Computer applications to medicine. Medical informatics R858-859.7
Zdroj:	ICTACT Journal on Image and Video Processing, Vol 4, Iss 2, Pp 717-720 (2013)
Druh dokumentu:	article
ISSN:	0976-9099 0976-9102
Popis:	Vector Quantization (VQ) is one of the Lossy Image Compression Techniques. Vector Quantization comprises of three different phases: Codebook Generation, Image Encoding and Image Decoding. The efficiency of VQ depends on the quality of the codebook. In this paper, we have proposed a novel idea for improving the quality of codebook. The codebook is populated with high detail blocks, with which the edges of the objects in an image can be preserved. The high detail blocks are identified based on the maximum and minimum pixel values of the blocks. K-Means clustering method is also used to improve the quality of the codebook. The quality (PSNR) of the reconstructed images by the proposed method is better when compared to that of few existing codebook generation techniques. Standard images are used to test the performance of the proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/82cd6798990c46c2885f82b5f3450758 Zobrazit plný text záznamu View record in DOAJ