Conference paper
Improving quality of fractal compressed images
Department of Computer and Electrical Engineering, Noushirvani Institute of Technology, University of Mazandaran, P.O.Box 47144, Babol, Iran1
This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. Fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image.
Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.
| Language: | English |
|---|---|
| Year: | 2007 |
| Pages: | 56-61 |
| ISBN: | 1424416248 , 1424416256 , 9781424416240 and 9781424416257 |
| Types: | Conference paper |
| DOI: | 10.1109/ICMV.2007.4469273 |
Equations Filters Fractals Frequency Image coding Image denoising Image enhancement Image processing Noise reduction Wavelet domain compression ratio contractive mapping scheme data compression diffusion equations fractal coding fractal coding approach fractal image compression image coding image enhancement image representation post processor quality image quality improvement technique
