3D-DCT based perceptual quality assessment of stereo video

Author

Jin, Lina ; Boev, Atanas ; Gotchev, Atanas ; Egiazarian, Karen

fYear

2011

fDate

11-14 Sept. 2011

Firstpage

2521

Lastpage

2524

Abstract

In this paper, we present a novel stereoscopic video quality assessment method based on 3D-DCT transform. In our approach, similar blocks from left and right views of stereoscopic video frames are found by block-matching, grouped into 3D stack and then analyzed by 3D-DCT. Comparison between reference and distorted images are made in terms of MSE calculated within the 3D-DCT domain and modified to reflect the contrast sensitive function and luminance masking. We validate our quality assessment method using test videos annotated with results from subjective tests. The results show that the proposed algorithm outperforms current popular metrics over a wide range of distortion levels.

Keywords

discrete cosine transforms; image matching; mean square error methods; stereo image processing; video signal processing; 3D-DCT based perceptual quality assessment; 3D-DCT transform; MSE; block-matching; contrast sensitive function; luminance masking; stereoscopic video frames; stereoscopic video quality assessment method; test videos; Conferences; Discrete cosine transforms; Image quality; Measurement; Quality assessment; Stereo image processing; Three dimensional displays; 3D video quality; 3D-DCT; depth perception; stereo-correspondence;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2011 18th IEEE International Conference on

Conference_Location

Brussels

ISSN

1522-4880

Print_ISBN

978-1-4577-1304-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2011.6116175

Filename

6116175