Variable Block Size Hybrid Fractal Technique for Image Compression
Author ORCID Identifier
Mansour Tahernezhadi:https://orcid.org/0000-0003-1279-6862
Publication Title
2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020
E-ISSN
43944
ISBN
9781728151977
Document Type
Conference Proceeding
Abstract
This paper presents a hybrid fractal method for color and grey scale image compression based on varying block size. The designed and developed fractal technique improves compression parameters like compression ratio (C.R), Peak Signal to Noise Ratio (P.S.N.R), Mean Square Error (M.S.E), coding redundancy and entropy of a reconstructed image. The RGB/Grey image is divided to blocks of varying ranges. The maximum and minimum window size of image range blocks, when applied to fractal compression and hybridized with proposed algorithm on iterative transforms improves compression parameters. Results are compared with the latest methods and implementation is done with the various categories of images. The results show that the proposed method works effectively for different categories of images and improves the C.R and P.S.N.R parameters.
First Page
510
Last Page
515
Publication Date
3-1-2020
DOI
10.1109/ICACCS48705.2020.9074352
Keywords
Compression Ratio, Entropy, Fractal Compression, MSE and PSNR, Resolution
Recommended Citation
Shaik, Ghousia A.; Reddy, Thota B.; Mohammed Ismail, B.; Alam, Mansooor; and Tahernezhadi, Mansour, "Variable Block Size Hybrid Fractal Technique for Image Compression" (2020). NIU Bibliography. 386.
https://huskiecommons.lib.niu.edu/niubib/386
Department
Department of Electrical Engineering
