Perception-based High Dynamic Range Infrared Video Coding

Infrared imagery has been used in many applications. Since the dynamic range of the infrared camera is wider than that of the RGB camera, the infrared image is usually stored in high bit-depth format. This paper proposes a technique to encode the high bit-depth infrared video, where the perception for the high dynamic range content is taken into account. After realizing the modified rate-distortion optimization, the experimental results show that the proposed scheme can achieve up to 13% bitrate reduction while keeping comparable quality in terms of HDR-VDP-2, compared to the H.264/AVC FRExt scheme.

[1]  Vincent Ricordel,et al.  Modeling the perceptual distortion of dynamic textures and its application in HEVC , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[2]  Claire Mantel,et al.  Compression of Infrared images , 2017, Visual Information Processing and Communication.

[3]  Wolfgang Heidrich,et al.  HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions , 2011, SIGGRAPH 2011.

[4]  Wen Gao,et al.  SSIM-Motivated Rate-Distortion Optimization for Video Coding , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  Panos Nasiopoulos,et al.  Compression efficiency of HDR/LDR content , 2015, 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX).

[6]  Rafal Mantiuk,et al.  A high dynamic range video codec optimized by large-scale testing , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[7]  Erik Reinhard,et al.  High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting , 2010 .

[8]  Antonio Ortega,et al.  Rate-distortion methods for image and video compression , 1998, IEEE Signal Process. Mag..

[9]  Warnakulasuriya Anil Chandana Fernando,et al.  Efficient rate-distortion optimization for HDR video compression , 2017, 2017 IEEE International Conference on Consumer Electronics (ICCE).

[10]  Gary J. Sullivan,et al.  Rate-distortion optimization for video compression , 1998, IEEE Signal Process. Mag..

[11]  Hans-Peter Seidel,et al.  Extending quality metrics to full luminance range images , 2008, Electronic Imaging.

[12]  Warnakulasuriya Anil Chandana Fernando,et al.  Rate distortion analysis of high dynamic range video coding techniques , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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

[14]  Yongdong Zhang,et al.  High Efficiency Video Coding: High Efficiency Video Coding , 2014 .

[15]  Jitendra Malik,et al.  Recovering high dynamic range radiance maps from photographs , 1997, SIGGRAPH.

[16]  Sebastiano Battiato,et al.  High dynamic range imaging for digital still camera: an overview , 2003, J. Electronic Imaging.