Contrast enhancement and details preservation of tone mapped high dynamic range images
- Resource Type
- Authors
- Basarab Matei; Anissa Mokraoui; Ba Chien Thai
- Source
- Journal of Visual Communication and Image Representation. 58:589-599
- Subject
- Pixel
Lifting scheme
Computer science
business.industry
Dynamic range
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Tone mapping
Piecewise linear function
Computer Science::Computer Vision and Pattern Recognition
Signal Processing
Human visual system model
Media Technology
Entropy (information theory)
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
Electrical and Electronic Engineering
business
High dynamic range
ComputingMethodologies_COMPUTERGRAPHICS
- Language
- ISSN
- 1047-3203
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. This approach is based on a separable near optimal lifting scheme using an adaptive powerful prediction step. The latter relies on a linear weighted combination depending on the neighboring coefficients extracting then the relevant finest details in the HDR image at each resolution level. Moreover the approximation and detail coefficients are modified according to the entropy of each subband. 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.