Tone mapping using color correction function and image decomposition in high dynamic range imaging

2010 ◽  
Vol 56 (4) ◽  
pp. 2772-2780 ◽  
Author(s):  
Ji Lee ◽  
Rae-Hong Park ◽  
Soonkeun Chang
Keyword(s):  
Dynamic Range ◽  
Image Decomposition ◽  
High Dynamic Range ◽  
Color Correction ◽  
Correction Function ◽  
Tone Mapping ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
High Dynamic

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.

scholarly journals RESEARCH ON COLOR CORRECTION METHOD OF GREENHOUSE TOMATO PLANT IMAGE BASED ON HIGH DYNAMIC RANGE IMAGING

2021 ◽  
pp. 393-402
Author(s):  
Min Li
Keyword(s):  
Tomato Plant ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Correction Method ◽  
Color Correction ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
Plant Image ◽  
High Dynamic ◽  
Band Image

In this paper, aiming at the need of stable access to visual information of intelligent management of greenhouse tomatoes, the color correction method of tomato plant image based on high dynamic range imaging technology was studied, in order to overcome the objective limitation of complex natural lighting conditions on the stable color presentation of working objects. In view of the color distortion caused by the temporal and spatial fluctuation of illumination in greenhouse and sudden change of radiation intensity in complex background, a calibration method of camera radiation response model based on multi-exposure intensity images is proposed. The fusion effect of multi band image is evaluated by field test. The results show that after multi band image fusion processing, the brightness difference between the recognized target and other near color background is significantly enhanced, and the brightness fluctuation of the background is suppressed. The color correction method was verified by field experiments, and the gray information, discrete degree and clarity of tomato plant images in different scenes and periods were improved.

Perceptual brightness-based inverse tone mapping for high dynamic range imaging

Displays ◽  
2018 ◽  
Vol 54 ◽  
pp. 1-8 ◽  
Author(s):  
Gwon Hwan An ◽  
Yong Deok Ahn ◽  
Siyeong Lee ◽  
Suk-Ju Kang
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
High Dynamic ◽  
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.

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