A perceptual distortion measure for video quality assessment using wavelet and statistical measures

Author

Shadiya, P. ; Balachandran, K.P.

Author_Institution

Dept. of Electron. & Commun. Eng., M.E.S. Coll. of Eng., Kuttippuram, India

fYear

2015

fDate

19-21 Feb. 2015

Firstpage

1

Lastpage

5

Abstract

Video Quality measurements are highly desirable for the performance evaluation of videos in wireless communications. In literature there are various Video Quality Assessment (VQA) algorithms, which have been developed with varying computational complexities and accuracy. This paper introducing a Full Reference (FR) VQA algorithm named as Perceptual Distortion Measure (PDM), is implemented using wavelet and statistical measures. PDM can track perceptual quality better with comparable high accuracy and low complexity. This FR algorithm is implemented using MATLAB. To check the performance of this FR algorithm, JM reference software is used for encoding the uncompressed reference videos at different Quantization Parameter (QP) values to yield compressed distorted videos at different bit rates.

Keywords

statistical analysis; video signal processing; wavelet transforms; MATLAB; PDM; full reference VQA algorithm; perceptual distortion measure; performance evaluation; quantization parameter values; statistical measures; video quality assessment algorithms; wavelet measures; Distortion measurement; Feature extraction; PSNR; Quality assessment; Streaming media; Video recording; Full Reference (FR); Quantization Parameter (QP); Video Quality Assessment (VQA);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on

Conference_Location

Kozhikode

Type

conf

DOI

10.1109/SPICES.2015.7091376

Filename

7091376