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Communication Dans Un Congrès Année : 2018

HDR Image Tone Mapping Histogram Adjustment with Using An Optimized Contrast Parameter

Résumé

This paper proposes a Tone Mapping (TM) approach converting a High Dynamic Range (HDR) image into a Low Dynamic Range (LDR) image while preserving as much information of the HDR image as possible to ensure a good LDR image visual quality. Multiresolution approach with approximation and details are separated, and weighted by entropy, and used an optimized contrast parameter. The parameter relies on all accounts of luminance average themselves in order to enhance contrast as much as possible. Then, the pixel's distribution of the coarse reconstructed LDR image is then adjusted according to a perceptual quantizer with respect to the human visual system using a piecewise linear function. Simulation results provide good results, both in terms of visual quality and TMQI metric, compared to existing competitive TM approaches.
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Dates et versions

hal-02428251 , version 1 (05-01-2020)

Identifiants

  • HAL Id : hal-02428251 , version 1

Citer

Ba Chien Thai, Anissa Mokraoui, Basarab Matei. HDR Image Tone Mapping Histogram Adjustment with Using An Optimized Contrast Parameter. International Symposium on Signal, Image, Video and Communications (ISIVC), Nov 2018, Rabat, Morocco. ⟨hal-02428251⟩
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