Title :
A no-reference method for JPEG image compression impairment evaluation
Author :
Dong, Haibo ; Wang, Ci
Author_Institution :
Sch. of EE, Shanghai Jiaotong Univ., Shanghai, China
Abstract :
Visual quality measurement of the compressed image is of importance to evaluate the effective of image compression algorithm. In this paper, we adopt a no-reference method to predict the perceived quality of JPEG compressed images. We claim that the restored information, which is got through postfiltering in shifted windows of image blocks, can replace the reference image to be compared with the distorted image in structure similarity index. The performance of the proposed measure is validated on a database of JPEG compressed images [1]. The experimental results prove that our method has a good performance on predicting the image quality compressed by JPEG standard.
Keywords :
data compression; image coding; JPEG image compression impairment evaluation; JPEG standard; image block; image perceived quality; no-reference method; structure similarity index; Distortion measurement; Image coding; Image quality; Indexes; Quality assessment; Transform coding; JPEG; SSIM; image quality assessment(IQA); no-reference; shifted window based filtering algorithm;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100467