Color and multispectral image compression using Enhanced Block Truncation Coding [E BTC] scheme
In this paper, image compression plays vital role in saving memory storage space and saving time while transmission images over network. The color and multispectral image is considered as input image for the image compression. The proposed technique with Enhanced Block Truncation Coding [E BTC] is applied on component of color and multispectral image. The component image is divided into various sub blocks. After evaluating mean values, the number of bits can be reduced by Enhanced Block Truncation Coding. Finally, compression ratio table is generated using the parameters such as MSE, SNR, PSNR, CR, BR and CT. The proposed method is implemented through standard color and multispectral images using MATLAB Version 8.1 R2013a.
2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)