High-Quality Reverse Tone Mapping for a Wide Range of Exposures

Reverse-tone-mapping operators (rTMOs) enhance low-dynamic-range images and videos for display on high-dynamic-range monitors. A common problem faced by previous rTMOs is the handling of under or overexposed content. Under such conditions, they may not be effective, and even cause loss and reversal of visible contrast. We present an rTMO based on cross-bilateral filtering that generates high-quality HDR images and videos for a wide range of exposures. Experiments performed using an objective image quality metric show that our approach is the only technique available that can gracefully enhance perceived details across a large range of image exposures.

[1]  Hans-Peter Seidel,et al.  Analysis of Reproducing Real‐World Appearance on Displays of Varying Dynamic Range , 2006, Comput. Graph. Forum.

[2]  Jiawen Chen,et al.  Real-time edge-aware image processing with the bilateral grid , 2007, SIGGRAPH 2007.

[3]  Diego Gutierrez,et al.  Evaluation of reverse tone mapping through varying exposure conditions , 2009, ACM Trans. Graph..

[4]  Manuel Menezes de Oliveira Neto,et al.  Adaptive manifolds for real-time high-dimensional filtering , 2012, ACM Trans. Graph..

[5]  Erik Reinhard,et al.  Color appearance in high-dynamic-range imaging , 2006, J. Electronic Imaging.

[6]  Kun Zhou,et al.  High dynamic range image hallucination , 2007, SIGGRAPH '07.

[7]  Francesco Banterle,et al.  Inverse tone mapping , 2006, GRAPHITE '06.

[8]  Frédo Durand,et al.  A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach , 2006, ECCV.

[9]  Jörg Weule,et al.  Non-Linear Gaussian Filters Performing Edge Preserving Diffusion , 1995, DAGM-Symposium.

[10]  Manuel Menezes de Oliveira Neto,et al.  High-quality brightness enhancement functions for real-time reverse tone mapping , 2009, The Visual Computer.

[11]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

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

[13]  Narendra Ahuja,et al.  Real-time O(1) bilateral filtering , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[14]  Hans-Peter Seidel,et al.  Enhancement of Bright Video Features for HDR Displays , 2008 .

[15]  Diego Gutierrez,et al.  Selective Reverse Tone Mapping , 2010 .

[16]  Wolfgang Heidrich,et al.  Ldr2Hdr: on-the-fly reverse tone mapping of legacy video and photographs , 2007, SIGGRAPH 2007.

[17]  Kurt Debattista,et al.  A Psychophysical Evaluation of Inverse Tone Mapping Techniques , 2009, Comput. Graph. Forum.

[18]  Stephen M. Smith,et al.  SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.

[19]  E. Reinhard Photographic Tone Reproduction for Digital Images , 2002 .

[20]  Frédo Durand,et al.  Flash photography enhancement via intrinsic relighting , 2004, SIGGRAPH 2004.

[21]  Erik Reinhard,et al.  Do HDR displays support LDR content?: a psychophysical evaluation , 2007, ACM Trans. Graph..

[22]  Laurence Meylan,et al.  The Reproduction of Specular Highlights on High Dynamic Range Displays , 2006, CIC.

[23]  Wolfgang Heidrich,et al.  High dynamic range display systems , 2004, SIGGRAPH 2004.

[24]  Alexei A. Efros,et al.  Fast bilateral filtering for the display of high-dynamic-range images , 2002 .

[25]  Andrew Adams,et al.  Fast High‐Dimensional Filtering Using the Permutohedral Lattice , 2010, Comput. Graph. Forum.

[26]  Kurt Debattista,et al.  Expanding low dynamic range videos for high dynamic range applications , 2008, SCCG.

[27]  Michael F. Cohen,et al.  Digital photography with flash and no-flash image pairs , 2004, ACM Trans. Graph..