Local tone mapping using luminance compression and adaptive color saturation control parameter

Ji Won Lee, Rae‐Hong Park, SoonKeun Chang · 2011

In this paper, we propose a new local tone mapping (TM) algorithm, which combines luminance compression function with an adaptive color saturation control parameter. The luminance of the radiance map is decomposed by a bilateral filter and compressed by the modified luminance compression function. To generate color channels of the tone mapped image, we use color ratios and color saturation control parameter along with the compressed luminance. The proposed TM algorithm enhances details and color representation as well as suppresses the color artifact. Computer simulations with various sets of real, low dynamic range images show the effectiveness of the proposed TM algorithm in terms of the visual quality and the color reproduction. The proposed algorithm is computationally efficient and easy to use. It can be used for contrast enhancement and color artifact suppression in various display and acquisition devices.

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