Title :
Image Compression by Using Fractional Transforms
Author :
Singh, Kulbir ; Singh, Navdeep ; Kaur, Parvinder ; Saxena, Rajiv
Author_Institution :
ECED, Thapar Univ., Patiala, India
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;
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
DOI :
10.1109/ARTCom.2009.185
