Quality assessment for JPEG images based on difference of power spectrum distribution

doi:10.1007/s12200-014-0430-6

Front. Optoelectron.

2015, Vol. 8

Issue (4) : 419-423 https://doi.org/10.1007/s12200-014-0430-6

RESEARCH ARTICLE

Quality assessment for JPEG images based on difference of power spectrum distribution

Binbing LIU(

),Haiqing CHEN

School of Optical and Electronics Information, Huazhong University of Science and Technology, Wuhan 430074, China

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Abstract

No-reference quality assessment aims at designing objective assessment criteria consistent to subjective perceived quality without any knowledge about reference image. This paper proposes a no-reference quality assessment algorithm specific to JPEG images. Blocking artifact in JPEG images is caused by the block based quantization of frequency coefficients, which is equivalent to applying low pass filtering in each block. In view of this idea, the algorithm in this paper was used to realize the quality assessment of JPEG images by quantizing the difference of power spectrum distribution between inner-block and inter-block. The assessment method proposed in this paper owns low algorithm complexity, clear physical meanings, free from learning and training and other advantages. Compared with most presented algorithms, the assessment results of proposed algorithm demonstrate a higher correlation to the subjective perceived quality.

Keywords image quality assessment blocking artifact power spectrum distribution

Corresponding Author(s): Binbing LIU

Online First Date: 11 June 2014 Issue Date: 24 November 2015

Cite this article:

Binbing LIU,Haiqing CHEN. Quality assessment for JPEG images based on difference of power spectrum distribution[J]. Front. Optoelectron., 2015, 8(4): 419-423.

URL:

https://academic.hep.com.cn/foe/EN/10.1007/s12200-014-0430-6
https://academic.hep.com.cn/foe/EN/Y2015/V8/I4/419

Fig.1

Blocking artifacts in JPEG image

Fig.2

Naturally-extending block and edge-extending block. (a) 10 × 10 naturally-extending block; (b) 10 × 10 edge-extending block

Fig.3

Comparison chart of power spectrum distribution curves. (a) Without blocking artifacts; (b) with blocking artifacts

Fig.4

Scatter chart of DPSD and DMOS

Tab.1

Correlation coefficients between subjective and objective assessment scores

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[1]	Binbing LIU, Ming ZHAO, Haiqing CHEN. Quality assessment method for geometrically distorted images[J]. Front Optoelec, 2013, 6(3): 275-281.

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