CSDL Home I ICCIMA 2005 Computational Intelligence and Multimedia Applications, International Conference on
Las Vegas, Nevada
Aug. 16, 2005 to Aug. 18, 2005
Husnain Malik , Monash University
F. Naeem , Monash University
N. Arora , Monash University
This paper introduces the concept of Diagonal Divide for image compression which is based on Discrete Cosine Transform. Most of the image/signal compression schemes focus on energy compression and decorrelation. The proposed technique makes use of this energy compaction fact to further reduce the amount of data to be processed. Along with it, the image?s result before and after the implementation of Diagonal Divide are compared. Criterion used here for measuring the quality of the resulting images is Mean Square Error (MSE). Keeping in mind that Mean Square Error is not a reliable criterion for measurement of quality; images are also included so that the reader can better judge the outcome of introducing this compression scheme.
Husnain Malik, F. Naeem, N. Arora, "Enhanced Image/Video Compression Using Diagonal Divide", ICCIMA, 2005, Computational Intelligence and Multimedia Applications, International Conference on, Computational Intelligence and Multimedia Applications, International Conference on 2005, pp. 191-196, doi:10.1109/ICCIMA.2005.25