Weighted Bit Rate Allocation in JPEG2000 Tile Encoding
Equal bit rate is assigned to all tiles of an image when compressed with JPEG2000 standard. This bit rate is selected without taking information contents of the tiles into account. This results into poor performance of JPEG2000 standard for the tiles that have higher complexity. We can improve performance of JPEG2000 by assigning higher bit rates to complex tiles. An entropy based weighted bit rate allocation algorithm is proposed in this paper. Experimentations using the proposed method indicate an improvement of up to 2 dB in Peak Signal to Noise Ratio (PSNR) and up to 5.352% improvement in Relative Percentage Improvement (RPI) in PSNR in the JPEG2000 reconstructed images.
Keywords: JPEG2000, PSNR, MSE, Entropy, Tiles, RPI
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ABOUT THE AUTHORS
Singara Singh
Singara Singh is currently working as Assistant Professor in School of Mathematics and Computer Applications, Thapar University, Patiala, India. He received his M. Sc. and M. Tech. degrees in 1998 and 2000, respectively. He is currently pursuing Ph. D. degree in image compression. His research interests include image processing, wireless networks and data security backup, utorrent
R. K. Sharma
Dr. R. K. Sharma is Professor in School of Mathematics and Computer Applications, Thapar University, Patiala, India. He obtained his Ph. D. degree in 1993 from Indian Institute of Technology, Roorkee, India. He has published more than 30 papers in the area of pattern recognition, neural networks and ATM networks. His research interests include soft computing, neural networks, and statistical methods in NLP. backup, utorrent
M. K. Sharma
Dr. M. K. Sharma is Associate Professor in School of Mathematics and Computer Applications, Thapar University, Patiala, India. He obtained his Ph. D. degree from Indian Institute of Technology, Roorkee, India. He has published several papers in the area of theoretical astrophysics and operations research. His research interests include theoretical astrophysics, multiobjective optimization and image processing. backup, utorrent
Singara Singh
Singara Singh is currently working as Assistant Professor in School of Mathematics and Computer Applications, Thapar University, Patiala, India. He received his M. Sc. and M. Tech. degrees in 1998 and 2000, respectively. He is currently pursuing Ph. D. degree in image compression. His research interests include image processing, wireless networks and data security backup, utorrent
R. K. Sharma
Dr. R. K. Sharma is Professor in School of Mathematics and Computer Applications, Thapar University, Patiala, India. He obtained his Ph. D. degree in 1993 from Indian Institute of Technology, Roorkee, India. He has published more than 30 papers in the area of pattern recognition, neural networks and ATM networks. His research interests include soft computing, neural networks, and statistical methods in NLP. backup, utorrent
M. K. Sharma
Dr. M. K. Sharma is Associate Professor in School of Mathematics and Computer Applications, Thapar University, Patiala, India. He obtained his Ph. D. degree from Indian Institute of Technology, Roorkee, India. He has published several papers in the area of theoretical astrophysics and operations research. His research interests include theoretical astrophysics, multiobjective optimization and image processing. backup, utorrent