Title :
A survey of image quality measures
Author :
Thung, Kim-Han ; Raveendran, Paramesran
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
Image quality assessment is one of the challenging field of digital image processing system. It can be done subjectively or objectively. PSNR is the most popular and widely used objective image quality metric but it is not correlate well with the subjective assessment. Thus, there are a lot of objective image quality metrics (IQM) developed in the past few decades to replace PSNR. This paper provides a literature review of the current subjective and objective image quality measures. The purpose of this paper is to collect reported quality metrics and group them according to their strategies and techniques.
Keywords :
image processing; PSNR; digital image processing system; image quality assessment; image quality metrics; Digital images; Gaussian noise; Image coding; Image quality; Image storage; Noise reduction; PSNR; Signal processing; Signal processing algorithms; Video compression;
Conference_Titel :
Technical Postgraduates (TECHPOS), 2009 International Conference for
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5223-1
Electronic_ISBN :
978-1-4244-5224-8
DOI :
10.1109/TECHPOS.2009.5412098