Image Compression by Using Fractional Transforms

Author

Singh, Kulbir ; Singh, Navdeep ; Kaur, Parvinder ; Saxena, Rajiv

Author_Institution

ECED, Thapar Univ., Patiala, India

fYear

2009

fDate

27-28 Oct. 2009

Firstpage

411

Lastpage

413

Abstract

This paper deals with the image compression using fractional Fourier transform (FRFT), fractional cosine transform (FRCT), Fourier transform (FT) and cosine transform (CT). A comparison has been made between these techniques and observed that a good fidelity of decompressed image can be achieved at different fractional values of the transforms. The FRFT provides better mean square error (MSE) and peak signal noise ratio (PSNR) for the same compression ratio (CR) as compared to FRCT while processing image quality.

Keywords

Fourier transforms; data compression; image coding; least squares approximations; compression ratio; fractional Fourier transform; fractional cosine transform; image compression; image quality processing; mean square error; peak signal noise ratio; Communications technology; Computed tomography; Fourier transforms; Image coding; Kernel; Mean square error methods; Optical signal processing; PSNR; Signal processing; TV; fractional Fourier transform; fractional cosine transform; image compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on

Conference_Location

Kottayam, Kerala

Print_ISBN

978-1-4244-5104-3

Electronic_ISBN

978-0-7695-3845-7

Type

conf

DOI

10.1109/ARTCom.2009.185

Filename

5329369