Luminance and contrast ideal balancing based tone mapping algorithm

The tone mapping field represents a challenge for all the HDR researchers. Indeed, this field is very important since, it offers better display terms for the end-user. This paper details a design of a recent tone mapping operator used in high dynamic range imaging systems. The proposed operator represents a local method that uses an adaptable factor which combines both the average neighbouring contrast and the brightness difference. Thanks to that, this solution provides good results with better brightness, contrast, and visibility and without producing neither undesired artifacts nor shadow effects.

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

[2]  Min Chen,et al.  Local contrast stretch based tone mapping for high dynamic range images , 2011, 2011 IEEE Symposium On Computational Intelligence For Multimedia, Signal And Vision Processing.

[3]  Frederic Dufaux,et al.  A comparative survey on high dynamic range video compression , 2012, Other Conferences.

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

[5]  Holly E. Rushmeier,et al.  Tone reproduction for realistic images , 1993, IEEE Computer Graphics and Applications.

[6]  Robert W. G. Hunt,et al.  The reproduction of colour , 1957 .

[7]  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..

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

[9]  Hans-Peter Seidel,et al.  Perceptual evaluation of tone mapping operators , 2003, SIGGRAPH '03.

[10]  Guoping Qiu,et al.  Tone-mapping high dynamic range images by novel histogram adjustment , 2010, Pattern Recognit..

[11]  Wolfgang Heidrich,et al.  Color correction for tone mapping , 2009, Comput. Graph. Forum.

[12]  Hans-Peter Seidel,et al.  A perceptual framework for contrast processing of high dynamic range images , 2006, TAP.

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

[14]  Chika Ofili,et al.  AN IN-DEPTH ANALYSIS AND IMAGE QUALITY ASSESSMENT OF AN EXPONENT- BASED TONE MAPPING ALGORITHM , 2012 .

[15]  Donald P. Greenberg,et al.  A model of visual adaptation for realistic image synthesis , 1996, SIGGRAPH.

[16]  W. Marsden.  I and J , 2012 .

[17]  Christine D. Piatko,et al.  A visibility matching tone reproduction operator for high dynamic range scenes , 1997 .

[18]  Graham D. Finlayson,et al.  Learning to display high dynamic range images , 2004, Pattern Recognit..

[19]  Zeev Farbman,et al.  Interactive local adjustment of tonal values , 2006, ACM Trans. Graph..

[20]  Hans-Peter Seidel,et al.  Modeling a Generic Tone‐mapping Operator , 2008, Comput. Graph. Forum.

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

[22]  Erik Reinhard,et al.  Parameter Estimation for Photographic Tone Reproduction , 2002, J. Graphics, GPU, & Game Tools.

[23]  Michael Ashikhmin,et al.  A Tone Mapping Algorithm for High Contrast Images , 2002, Rendering Techniques.

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

[25]  Mark D. Fairchild,et al.  iCAM06: A refined image appearance model for HDR image rendering , 2007, J. Vis. Commun. Image Represent..

[26]  Robert Wanat,et al.  Evaluation of Tone Mapping Operators for HDR‐Video , 2013, SIGGRAPH '13.

[27]  Rae-Hong Park,et al.  Tone mapping using color correction function and image decomposition in high dynamic range imaging , 2010, IEEE Transactions on Consumer Electronics.

[28]  Greg Ward,et al.  A Contrast-Based Scalefactor for Luminance Display , 1994, Graphics Gems.

[29]  Karol Myszkowski,et al.  Adaptive Logarithmic Mapping For Displaying High Contrast Scenes , 2003, Comput. Graph. Forum.

[30]  Mark D. Fairchild,et al.  Color Appearance Models , 1997, Computer Vision, A Reference Guide.