An efficient layered data compression scheme with constraint analysis

Muhammad Kamran*, Feng Shi, Yumin Xie, Yizhuo Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)1216-1232
页数17
期刊Mathematics and Computers in Simulation
79
4
DOI
出版状态已出版 - 15 12月 2008

指纹

探究 'An efficient layered data compression scheme with constraint analysis' 的科研主题。它们共同构成独一无二的指纹。

引用此

Kamran, M., Shi, F., Xie, Y., & Wang, Y. (2008). An efficient layered data compression scheme with constraint analysis. Mathematics and Computers in Simulation, 79(4), 1216-1232. https://doi.org/10.1016/j.matcom.2007.10.011