Adaptive Contrast Adjustment for Postprocessing of Tone Mapped High Dynamic Range Images

Abstract : Tone mapping operators (TMOs) employed to visualize high dynamic range (HDR) content on conventional low dynamic range (LDR) devices suffer from two major drawbacks. First, none of them can faithfully reproduce all the contrast present in HDR images. Second, most of them require one or more parameters which are mostly content specific and their optimal values can be set only via subjective testing. To address these issues, this paper proposes that 'quality driven' adaptive contrast enhancement is a practical solution. This is achieved by enhancing the contrast adaptively based on the loss of contrast between the HDR and tone mapped image. Experimental results confirm that the proposed adaptive solution always improves upon the contrast achieved from whatever given TMO parameter settings in the tested images. So it helps to achieve the results of a more optimal TMO parameter setting without the human input.
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Communication dans un congrès
IEEE International Symposium on Circuits and Systems (ISCAS) 2013, May 2013, Beijing, China. pp.1, 2013
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Manish Narwaria, Matthieu Perreira da Silva, Patrick Le Callet, Romuald Pepion. Adaptive Contrast Adjustment for Postprocessing of Tone Mapped High Dynamic Range Images. IEEE International Symposium on Circuits and Systems (ISCAS) 2013, May 2013, Beijing, China. pp.1, 2013. 〈hal-00825879〉

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