scholarly journals Novel Tone Mapping Method via Macro-Micro Modeling of Human Visual System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 118359-118369
Author(s):  
Disheng Miao ◽  
Zhongjie Zhu ◽  
Yongqiang Bai ◽  
Gangyi Jiang ◽  
Zhiyong Duan
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Mapping Method ◽  
Tone Mapping ◽  
Micro Modeling

scholarly journals Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 52058-52072 ◽  
Author(s):  
Hanbyol Jang ◽  
Kihun Bang ◽  
Jinseong Jang ◽  
Dosik Hwang
Keyword(s):  
Neural Networks ◽  
Visual System ◽  
Human Visual System ◽  
Deep Neural Networks ◽  
Tone Mapping ◽  
Inverse Tone Mapping

scholarly journals Human visual system inspired saliency guided edge preserving tone-mapping for high dynamic range imaging

2021 ◽  
Author(s):  
Nipu Rani Barai
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Guided Filter ◽  
Tone Mapping ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
Edge Preserving ◽  
High Dynamic

With the growing popularity of High Dynamic Range Imaging (HDRI), the necessity for advanced tone-mapping techniques has greatly increased. In this thesis, I propose a novel saliency guided edge-preserving tone-mapping method that uses saliency region information of an HDR image as input to a guided filter for base and detail image layer separation. Both high resolution and low resolution saliency maps were used for the performance evaluation of the proposed method. After detail layer enhancement and base layer compression with constant weights, a new edge preserved tone-mapped image was composed by adding the layers back together with saturation and exposure adjustments. The filter operation is faster due to the use of the guided filter, which has O(N) time operation with N number of pixels. Both objective and subjective quality assessment results demonstrated that the proposed method has higher edge and naturalness preserving capability, which is homologous to the Human Visual System (HVS), as compared to other state-of-the-art tone-mapping approaches.

The Human Visual System and HDR Tone Mapping

2006 ◽  
pp. 187-221 ◽  
Author(s):  
Erik Reinhard ◽  
Greg Ward ◽  
Sumanta Pattanaik ◽  
Paul Debevec
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Tone Mapping

Human-visual-system-inspired tone mapping algorithm for HDR images

2004 ◽  
Author(s):  
Alessandro Rizzi ◽  
Carlo Gatta ◽  
Benedetta Piacentini ◽  
Massimo Fierro ◽  
Daniele Marini
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Tone Mapping ◽  
Mapping Algorithm

A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual System

2018 ◽  
Vol 65 (4) ◽  
pp. 3469-3479 ◽  
Author(s):  
Ishtiaq Rasool Khan ◽  
Susanto Rahardja ◽  
Muhammad Murtaza Khan ◽  
Muhammad Mobeen Movania ◽  
Fidaa Abed
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Mapping Technique ◽  
Tone Mapping

scholarly journals Human visual system inspired saliency guided edge preserving tone-mapping for high dynamic range imaging

2021 ◽  
Author(s):  
Nipu Rani Barai
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Guided Filter ◽  
Tone Mapping ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
Edge Preserving ◽  
High Dynamic

With the growing popularity of High Dynamic Range Imaging (HDRI), the necessity for advanced tone-mapping techniques has greatly increased. In this thesis, I propose a novel saliency guided edge-preserving tone-mapping method that uses saliency region information of an HDR image as input to a guided filter for base and detail image layer separation. Both high resolution and low resolution saliency maps were used for the performance evaluation of the proposed method. After detail layer enhancement and base layer compression with constant weights, a new edge preserved tone-mapped image was composed by adding the layers back together with saturation and exposure adjustments. The filter operation is faster due to the use of the guided filter, which has O(N) time operation with N number of pixels. Both objective and subjective quality assessment results demonstrated that the proposed method has higher edge and naturalness preserving capability, which is homologous to the Human Visual System (HVS), as compared to other state-of-the-art tone-mapping approaches.

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