论文信息 - Stereo Picture Quality Estimation Based on a Multiple Channel HVS Model

Stereo Picture Quality Estimation Based on a Multiple Channel HVS Model

The understanding and estimation of stereo images are very important. There are many models of human visual system for planar image. It is blank for stereo image. An estimation of stereo image quality is proposed based on a multiple channel human visual system (HVS) for use in image compression .The model is based on a plane model, but has some modifications that make it is more suitable to stereo image pair. Difference as the important characteristic of stereo images is used to evaluate the quality of stereo image.

Jiachen Yang | Zhuoyun Zhang | Lili Shen

[1] Quick Rf. A vector-magnitude model of contrast detection. , 1974 .

[2] Ian P. Howard,et al. Binocular Vision and Stereopsis , 1996 .

[3] D. Sakrison,et al. On the Role of the Observer and a Distortion Measure in Image Transmission , 1977, IEEE Trans. Commun..

[4] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[5] N. Kingsbury. Complex Wavelets for Shift Invariant Analysis and Filtering of Signals , 2001 .

[6] Jean-Pierre Antoine,et al. Image analysis with two-dimensional continuous wavelet transform , 1993, Signal Process..

[7] Andrew B. Watson,et al. The cortex transform: rapid computation of simulated neural images , 1987 .

[8] Scott J. Daly,et al. Visible differences predictor: an algorithm for the assessment of image fidelity , 1992, Electronic Imaging.

[9] Stefan Winkler,et al. Quality metric design: a closer look , 2000, Electronic Imaging.

[10] Edward H. Adelson,et al. Shiftable multiscale transforms , 1992, IEEE Trans. Inf. Theory.

[11] David J. Sakrison,et al. The effects of a visual fidelity criterion of the encoding of images , 1974, IEEE Trans. Inf. Theory.