TY - JOUR
T1 - An efficient layered data compression scheme with constraint analysis
AU - Kamran, Muhammad
AU - Shi, Feng
AU - Xie, Yumin
AU - Wang, Yizhuo
PY - 2008/12/15
Y1 - 2008/12/15
N2 - Layered image transmission is successfully adopted for different system applications. Generally, in this technique, image is divided into number of layers for easy and fast transmission keeping the concept of multi-description representation. This configuration helps to make overall system adaptive with respect to different system's bandwidth. Proposed data compression layered scheme's architecture not only works with JPEG but also with MPEG image formats. It includes all necessary steps and precautions to handle possible disturbances in image compression by analyzing different parameters affecting image quality and transmission time. In this paper, behavioral model of complete image compression scheme is discussed starting from image extraction from source, layering of image matrix, generating separate pixel layers for concurrent compression followed by efficient coder operation. This paper also addresses different parameters, which improve image quality with different constraints and limitations encountered during design verification. This proposed scheme is comprised of pre-coder, efficient transformation scheme followed by adaptive Huffman encoding/decoding in conjunction with quantization of image matrix which makes overall compression system lossy in nature. Due to flexibility of operation, this scheme can be applicable in different applications like Robot vision and real time video compression, etc. The results obtained after mathematical analysis and simulation are found useful to prove efficiency of layered compression scheme.
AB - Layered image transmission is successfully adopted for different system applications. Generally, in this technique, image is divided into number of layers for easy and fast transmission keeping the concept of multi-description representation. This configuration helps to make overall system adaptive with respect to different system's bandwidth. Proposed data compression layered scheme's architecture not only works with JPEG but also with MPEG image formats. It includes all necessary steps and precautions to handle possible disturbances in image compression by analyzing different parameters affecting image quality and transmission time. In this paper, behavioral model of complete image compression scheme is discussed starting from image extraction from source, layering of image matrix, generating separate pixel layers for concurrent compression followed by efficient coder operation. This paper also addresses different parameters, which improve image quality with different constraints and limitations encountered during design verification. This proposed scheme is comprised of pre-coder, efficient transformation scheme followed by adaptive Huffman encoding/decoding in conjunction with quantization of image matrix which makes overall compression system lossy in nature. Due to flexibility of operation, this scheme can be applicable in different applications like Robot vision and real time video compression, etc. The results obtained after mathematical analysis and simulation are found useful to prove efficiency of layered compression scheme.
KW - Concurrent compression
KW - Huffman coding
KW - LSCIC pre-coder
KW - Layered scheme
KW - Perturbations
UR - http://www.scopus.com/inward/record.url?scp=56949107648&partnerID=8YFLogxK
U2 - 10.1016/j.matcom.2007.10.011
DO - 10.1016/j.matcom.2007.10.011
M3 - Article
AN - SCOPUS:56949107648
SN - 0378-4754
VL - 79
SP - 1216
EP - 1232
JO - Mathematics and Computers in Simulation
JF - Mathematics and Computers in Simulation
IS - 4
ER -