Presentation	2013-04-26 An optimization method using sparsity of DCT coeficients and image quality distortion Kazuki ITOU, Akira KUBOTA,
PDF Download Page	PDF download Page Link
Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	We propose a method that optimizes coding rate and distortion of JPEG via sparse representation. However, in this optimization, evaluating the coding rate is generally difficult to solve. Instead, in our previous method, we seek to minimize the weighted sum of l_0-norm of DCT coefficients and distortion(MSE) using Don't Care Region and Transform Domain Bounding Box Strategy. In this paper, we proposed a new method for automatically estimating Lagrange parameter that controls the relative importance of rate to distortion using quality parameter and DCT coefficients. Experimental results showed that our method outperformed unoptimized JPEG compression by up to 9.1% in coding rate.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	DCT coefficients / Sparsificaton
Paper #	IE2013-4
Date of Issue

Conference Information
Committee	IE
Conference Date	2013/4/19(1days)
Place (in Japanese)	(See Japanese page)
Place (in English)
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To	Image Engineering (IE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	An optimization method using sparsity of DCT coeficients and image quality distortion
Sub Title (in English)
Keyword(1)	DCT coefficients
Keyword(2)	Sparsificaton
1st Author's Name	Kazuki ITOU
1st Author's Affiliation	Faculty of Engineering, Chuo University()
2nd Author's Name	Akira KUBOTA
2nd Author's Affiliation	Faculty of Engineering, Chuo University
Date	2013-04-26
Paper #	IE2013-4
Volume (vol)	vol.113
Number (no)	20
Page	pp.pp.-
#Pages	4
Date of Issue