Open AccessRobust Image Compression Algorithm using Discrete Fractional Cosine Transform
Author(s) -
Vivek Arya
Publication year - 2022
Publication title -
wseas transactions on systems and control/wseas transactions on systems and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.174
H-Index - 16
eISSN - 2224-2856
pISSN - 1991-8763
DOI - 10.37394/23203.2022.17.3
Subject(s) - discrete cosine transform , peak signal to noise ratio , algorithm , image compression , discrete fourier transform (general) , computer science , fractional fourier transform , mathematics , fourier transform , image (mathematics) , artificial intelligence , image processing , fourier analysis , mathematical analysis
The discrete fractional Fourier transform become paradigm in signal processing. This transform process the signal in joint time-frequency domain. The attractive and very important feature of DFrCT is an availability of extra degree of one free parameter that is provided by fractional orders and due to which optimization is possible. Less execution time and easy implementation are main advantages of proposed algorithm. The merit of effectiveness of proposed technique over existing technique is superior due to application of discrete fractional cosine transform by which higher compression ratio and PSNR are obtained without any artifacts in compressed images. The novelty of the proposed algorithm is no artifacts in compressed image along with good CR and PSNR. Compression ratio (CR) and peak signal to noise ratio (PSNR) are quality parameters for image compression with optimum fractional order.