Region-based tone mapping for efficient High Dynamic Range video coding

In this paper, we address the problem of efficient High Dynamic Range (HDR) video coding. For this purpose, we introduce a new representation which segments the HDR image into low-range and highrange regions which are independently tone mapped. This representation allows preserving more information, leading to a higher visual quality of the reconstructed HDR image.

[1]  Shan Liu,et al.  Bit-depth scalable coding for high dynamic range video , 2008, Electronic Imaging.

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

[3]  Hans-Peter Seidel,et al.  Predicting visible differences in high dynamic range images: model and its calibration , 2005, IS&T/SPIE Electronic Imaging.

[4]  Liang-Gee Chen,et al.  Video Compression , 2010, Handbook of Signal Processing Systems.

[5]  Ronald Arps,et al.  JBIG2-the ultimate bi-level image coding standard , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[6]  Hans-Peter Seidel,et al.  Visible difference predicator for high dynamic range images , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[7]  Gregory Ward Larson,et al.  Overcoming Gamut and Dynamic Range Limitations in Digital Images , 1998, CIC.

[8]  C. Andrew Segall,et al.  Scalable Coding of High Dynamic Range Video , 2007, 2007 IEEE International Conference on Image Processing.

[9]  Herbert Thoma,et al.  An adaptive Logluv transform for High Dynamic Range video compression , 2010, 2010 IEEE International Conference on Image Processing.

[10]  Hans-Peter Seidel,et al.  Dynamic range independent image quality assessment , 2008, ACM Trans. Graph..

[11]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..