High Contrast HDR Video Tone Mapping Based on Gamma Curves

In this paper we propose a new tone mapping method for HDR video. Two types of gamma tone mapping are blended to preserve local contrast in the entire range of luminance. Our method achieves high quality tone mapping especially for the HDR video that has a nonlinear response to scene radiance. Additionally, we apply it to an object-aware tone mapping method for camera surveillance. This method achieves high visibility of target objects in the tone mapped HDR video. We examine the validity of our methods through simulation and comparison with conventional work.

[1]  Hans-Peter Seidel,et al.  Perceptual effects in real-time tone mapping , 2005, SCCG '05.

[2]  Erik Reinhard,et al.  High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics) , 2005 .

[3]  Jessica K. Hodgins,et al.  Two methods for display of high contrast images , 1999, TOGS.

[4]  Dani Lischinski,et al.  Gradient Domain High Dynamic Range Compression , 2023 .

[5]  Donald P. Greenberg,et al.  Time-dependent visual adaptation for fast realistic image display , 2000, SIGGRAPH.

[6]  Zia-ur Rahman,et al.  A multiscale retinex for bridging the gap between color images and the human observation of scenes , 1997, IEEE Trans. Image Process..

[7]  Masahiro Okuda,et al.  HDR video tone mapping based on gamma blending , 2010, 2010 IEEE International Conference on Image Processing.

[8]  Erik Reinhard,et al.  Photographic tone reproduction for digital images , 2002, ACM Trans. Graph..

[9]  O. Yadid-Pecht,et al.  Wide-Dynamic-Range CMOS Image Sensors—Comparative Performance Analysis , 2009, IEEE Transactions on Electron Devices.

[10]  Masahiro Okuda,et al.  Motion blur free HDR image acquisition using multiple exposures , 2008, 2008 15th IEEE International Conference on Image Processing.

[11]  Masayuki Ikebe,et al.  Local adaptive tone mapping with composite multiple gamma functions , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[12]  Jitendra Malik,et al.  Recovering high dynamic range radiance maps from photographs , 1997, SIGGRAPH '08.

[13]  Greg Turk,et al.  LCIS: a boundary hierarchy for detail-preserving contrast reduction , 1999, SIGGRAPH.

[14]  Giovanni Ramponi,et al.  A cubic unsharp masking technique for contrast enhancement , 1998, Signal Process..

[15]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[16]  Edward H. Adelson,et al.  Compressing and companding high dynamic range images with subband architectures , 2005, SIGGRAPH 2005.