HDR Image Tone Mapping Approach based on Near Optimal Separable Adaptive Lifting Scheme
- Resource Type
- Authors
- Anissa Mokraoui; Basarab Matei; Ba Chien Thai
- Source
- 2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
International Conference on Signal Processing: Algorithms, Architectures, Arrangements, and Applications
International Conference on Signal Processing: Algorithms, Architectures, Arrangements, and Applications, Sep 2018, Poznan, Poland. ⟨10.23919/SPA.2018.8563293⟩
SPA
- Subject
- Pixel
Lifting scheme
Dynamic range
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020206 networking & telecommunications
02 engineering and technology
Tone mapping
Separable space
Piecewise linear function
[SPI]Engineering Sciences [physics]
Computer Science::Computer Vision and Pattern Recognition
Human visual system model
0202 electrical engineering, electronic engineering, information engineering
Entropy (information theory)
020201 artificial intelligence & image processing
Algorithm
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
ComputingMethodologies_COMPUTERGRAPHICS
- Language
- English
International audience; 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.