International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 105 - Number 4 |
Year of Publication: 2014 |
Authors: Sanjay J. Bagul, Navinchandra G.shimpi, Pradeep M.patil |
10.5120/18367-9513 |
Sanjay J. Bagul, Navinchandra G.shimpi, Pradeep M.patil . Monochrome Image Compression using Log-Gabor Filter. International Journal of Computer Applications. 105, 4 ( November 2014), 31-35. DOI=10.5120/18367-9513
Data is basic component of information and available in various formats like textual, graphical, etc. An image is a type of graphical data. Various programs using complex graphics are growing in the fields of computing applications such as games, education, desktop publishing, graphical design and many more. High compression ratio severely affects the quality of the image. This paper attempts to improve compression ratio while at the same time minimizing the degradation in quality of images. In this paper compression of the images is based on Log-Gabor filtering that removes the redundant information from a given image. This filter tries to maintain the image quality while reducing storage requirements. Log-Gabor filter is implemented in MATLAB and applied to images of various resolutions, sizes and types. The image filtered by Log-Gabor filter occupies less storage space and has better quality. The resultant image has increased compression ratio compared to the original image indicating high degree of image compression.