A Color Correction Method for High-Dynamic-Range Images Based on Human Visual Perception

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.

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Retinex-based color correction for displaying High Dynamic Range images

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS ◽

10.1109/icosp.2010.5655858 ◽

2010 ◽

Cited By ~ 1

Author(s):

Jinhua Wang ◽

Haijiang Bi

Keyword(s):

Dynamic Range ◽

High Dynamic Range ◽

Color Correction ◽

Range Images ◽

High Dynamic

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Color Correction Method for High Dynamic Range Image Using Dynamic Cone Response Function

Journal of the Institute of Electronics and Information Engineers ◽

10.5573/ieek.2012.49.9.104 ◽

2012 ◽

Vol 49 (9) ◽

pp. 104-112

Author(s):

Ho-Hyoung Choi ◽

Byoung-Ju Yun

Keyword(s):

Response Function ◽

Dynamic Range ◽

High Dynamic Range ◽

Correction Method ◽

Color Correction ◽

Range Image ◽

High Dynamic Range Image ◽

Cone Response ◽

High Dynamic

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Gradient-Related Non-Photorealistic Rendering for High Dynamic Range Images

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2013.p0628 ◽

2013 ◽

Vol 17 (4) ◽

pp. 628-636 ◽

Cited By ~ 1

Author(s):

Jiajun Lu ◽

◽

Fangyan Dong ◽

Kaoru Hirota

Keyword(s):

Visual Perception ◽

Dynamic Range ◽

Digital Images ◽

High Dynamic Range ◽

Experimental Results ◽

Range Images ◽

Source Information ◽

Photorealistic Rendering ◽

Low Luminance ◽

High Dynamic

A non-photorealistic rendering (NPR) method based on elements, usually strokes, is proposed for rendering high dynamic range (HDR) images to mimic the visual perception of human artists and designers. It enables strokes generated in the rendering process to be placed accurately on account of improvements in computing gradient values especially in regions having particularly high or low luminance. Experimental results using a designed pattern show that angles of gradient values obtained from HDR images have a reduction in averaged error of up to 57.5% in comparison to that of conventional digital images. A partial experiment on incorporating HDR images into other NPR styles, such as dithering, shows the wide compatibility of HDR images in providing source information for NPR processes.

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