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Digital Object Identifier (DOI) : 10.14569/IJACSA.2011.020617
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 6, 2011.
Abstract: Image compression is currently a prominent topic for both military and commercial researchers. Due to rapid growth of digital media and the subsequent need for reduced storage and to transmit the image in an effective manner Image compression is needed. Image compression attempts to reduce the number of bits required to digitally represent an image while maintaining its perceived visual quality. This study concentrates on the lossless compression of image using approximate matching technique and run length encoding. The performance of this method is compared with the available jpeg compression technique over a wide number of images, showing good agreements.
Samir Kumar Bandyopadhyay, Tuhin Utsab Paul and Avishek Raychoudhury, “Image Compression using Approximate Matching and Run Length” International Journal of Advanced Computer Science and Applications(IJACSA), 2(6), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020617