Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
A Novel Approach to Image Compression of Colour Images by Plane Reduction Technique
Authors: K.Sowmyan, A.Siddarth, D.Menaka
Abstract:
Several methods have been proposed for color image compression but the reconstructed image had very low signal to noise ratio which made it inefficient. This paper describes a lossy compression technique for color images which overcomes the drawbacks. The technique works on spatial domain where the pixel values of RGB planes of the input color image is mapped onto two dimensional planes. The proposed technique produced better results than JPEG2000, 2DPCA and a comparative study is reported based on the image quality measures such as PSNR and MSE.Experiments on real time images are shown that compare this methodology with previous ones and demonstrate its advantages.Keywords: Color Image compression, spatial domain, planereduction, root mean square, image restoration
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331843
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1633References:
[1] Arash Abadpour, Shohreh Kasaei , A Novel Image Compression Method Using Eigenimages , The third conference on Machine Vision,Image Processing & Applications(MVIP 2005),Tehran , Iran, 2005.
[2] Ashutosh Dwivedi, Arvind Tolambiya, Prabhanjan Kandula, N Subhash Chandra Bose, Ashiwani Kumar, Prem K Kalra,- Color Image Compression Using 2-Dimensional Principal Component Analysis (2DPCA)-, ASID-06, New Delhi , India, 2006.
[3] Zhou Wang and Alan C. Bovik , IEEE Signal Processing Magazine, January, 2009.
[4] Ahmet M. Eskicioglu and Paul S. Fisher, Image Quality Measures and Performance, IEEE Transactions on Communications, Vol.43, No.12, December, 1995.