JND based Multi-description Stereo Image Coding

In this paper, two multi-description stereo image coding schemes based on JND (just noticeable difference) are proposed. JND is based on the minimum distortion characteristics that the human eye can detect. JND model can be divided into JND model of pixel domain and JND model of DCT domain, and the latter is applied in this paper. Firstly, this paper calculates the JND model of DCT domain according to the visual characteristics of human eyes. Then, it is applied to multi-description stereo image coding system. And JND-based MDROQ and JND-based MDLTPC are used in the stereo image coding scheme respectively. In both schemes, in order to improve the coding efficiency, the DCT values that less than JND threshold are set to zero, while others remain unchanged. Experimental results show that the JND based multi-description stereo image coding schemes can improve coding performance compared with other methods.

[1]  King Ngi Ngan,et al.  Spatio-Temporal Just Noticeable Distortion Profile for Grey Scale Image/Video in DCT Domain , 2009, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Chao Tian,et al.  A new class of multiple description scalar quantizer and its application to image coding , 2005, IEEE Signal Processing Letters.

[3]  Weisi Lin,et al.  Estimating Just-Noticeable Distortion for Video , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[4]  Richard E. Ladner,et al.  Generalized multiple description coding through unequal loss protection , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[5]  Gabriella Olmo,et al.  A Flexible R-D-Based Multiple Description Scheme for JPEG 2000 , 2007, IEEE Signal Processing Letters.

[6]  Chao Tian,et al.  $M$-Channel Multiple Description Coding With Two-Rate Coding and Staggered Quantization , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Michael T. Orchard,et al.  An improvement to multiple description transform coding , 2002, IEEE Trans. Signal Process..

[8]  Alireza Aminlou,et al.  Unequal loss-protected multiple description coding of scalable source streams using a progressive approach , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[9]  Jaroslaw Domaszewicz,et al.  Design of entropy-constrained multiple-description scalar quantizers , 1994, IEEE Trans. Inf. Theory.

[10]  Vinay A. Vaishampayan,et al.  Asymptotic performance of multiple description transform codes , 1997, IEEE Trans. Inf. Theory.

[11]  Yao Wang,et al.  Multiple Description Coding for Video Delivery , 2005, Proceedings of the IEEE.

[12]  Kai-Kuang Ma,et al.  Wiener Filter-Based Error Resilient Time-Domain Lapped Transform , 2007, IEEE Transactions on Image Processing.

[13]  Vinay A. Vaishampayan,et al.  Design of multiple description scalar quantizers , 1993, IEEE Trans. Inf. Theory.

[14]  Yao Zhao,et al.  Multiple Description Coding With Randomly and Uniformly Offset Quantizers , 2014, IEEE Transactions on Image Processing.

[15]  Chao Tian,et al.  A three-layer scheme for M-channel multiple description image coding , 2011, Signal Process..

[16]  Weisi Lin,et al.  Fast synthesized and predicted just noticeable distortion maps for perceptual multiview video coding , 2013, J. Vis. Commun. Image Represent..

[17]  Yao Zhao,et al.  Optimized multiple description image coding using lattice vector quantization , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[18]  Hamid Jafarkhani,et al.  Multiple description trellis-coded quantization , 1999, IEEE Trans. Commun..

[19]  Chao Tian,et al.  Multiple Description Coding With Prediction Compensation , 2009, IEEE Transactions on Image Processing.

[20]  Antonio Ortega,et al.  Multiple description coding via polyphase transform and selective quantization , 1998, Electronic Imaging.

[21]  Trac D. Tran,et al.  Lapped transform via time-domain pre- and post-filtering , 2003, IEEE Trans. Signal Process..

[22]  L. Ozarow,et al.  On a source-coding problem with two channels and three receivers , 1980, The Bell System Technical Journal.

[23]  N. Jayant Subsampling of a DPCM speech channel to provide two “self-contained” half-rate channels , 1981, The Bell System Technical Journal.