Paper Info
Title
Distortion Analysis in Scalable Image Compression Scheme based on efficient Codebook selection
Abstract
Image compression scheme is divided into different operational phases for reliable, successful and efficient results. In this paper, Layered Scalable Concurrent Image Compression LSCIC pre coder is analyzed which is already proved scalable and stable with respect to data transmission and pixel loss. In the light of available compression schemes associated with vector quantization, codebook is developed using different optimized techniques like pair wise nearest neighbor algorithm, and other modified methods majority of them based on Linde Buzo Gray LBG algorithm. For the accomplishment of the objective, data blocks from LSCIC pre coder reach encoder which selects best code vector with respect to similarity with input vector. Best selection is obtained by the virtue of distortion measurement by utilizing Lloyd algorithm in conjunction with Vector Quantization method. Results are shown to achieve some novel observations when best codebook is selected.
Year
DOI
Venue
2007
10.1109/SNPD.2007.238
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference
Keywords
Field
DocType
available compression scheme,vector quantization,compression scheme,data transmission,utilizing lloyd algorithm,best selection,different operational phase,distortion analysis,efficient codebook selection,best code vector,best codebook,data block,scalable image,input vector,distortion,image compression,nearest neighbor
k-nearest neighbors algorithm,Pattern recognition,Linde–Buzo–Gray algorithm,Computer science,Vector quantization,Encoder,Artificial intelligence,Pixel,Distortion,Image compression,Machine learning,Codebook
Conference
Volume
ISBN
Citations 
2
0-7695-2909-7
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Muhammad Kamran1317.00
Haroon-ur-rashid Khan292.24
Shi Feng350.86