Digital color restoration from slide images which use the color target Kodak Q-13

Alexandre Cruz Leão; Arnaldo de Albuquerque Araújo; Luiz Antônio Cruz Souza

doi:10.2352/issn.2168-3204.2017.1.0.57

A Color Restoration Algorithm for Thin-Film Camera Images

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324642 ◽

2020 ◽

Author(s):

Yanlei Du ◽

Xiaofeng Yang ◽

Yiping Ma

Keyword(s):

Thin Film ◽

Restoration Algorithm ◽

Color Restoration

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Robust Chromatic Adaptation Based Color Correction Technology for Underwater Images

Applied Sciences ◽

10.3390/app10186392 ◽

2020 ◽

Vol 10 (18) ◽

pp. 6392

Author(s):

Xieliu Yang ◽

Chenyu Yin ◽

Ziyu Zhang ◽

Yupeng Li ◽

Wenfeng Liang ◽

...

Keyword(s):

Color Space ◽

Color Correction ◽

Test Methods ◽

Chromatic Adaptation ◽

Water Type ◽

Underwater Image ◽

Other Information ◽

Color Restoration ◽

Color Cast ◽

Imaging Conditions

Recovering correct or at least realistic colors of underwater scenes is a challenging issue for image processing due to the unknown imaging conditions including the optical water type, scene location, illumination, and camera settings. With the assumption that the illumination of the scene is uniform, a chromatic adaptation-based color correction technology is proposed in this paper to remove the color cast using a single underwater image without any other information. First, the underwater RGB image is first linearized to make its pixel values proportional to the light intensities arrived at the pixels. Second, the illumination is estimated in a uniform chromatic space based on the white-patch hypothesis. Third, the chromatic adaptation transform is implemented in the device-independent XYZ color space. Qualitative and quantitative evaluations both show that the proposed method outperforms the other test methods in terms of color restoration, especially for the images with severe color cast. The proposed method is simple yet effective and robust, which is helpful in obtaining the in-air images of underwater scenes.

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A Modified Multi Scale Retinex with Color Restoration Algorithm for Automatic Enhancement of Landsat-5 Remote Sensing Image

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.341-342.893 ◽

2011 ◽

Vol 341-342 ◽

pp. 893-897

Author(s):

Gui Zhou Wang ◽

Guo Jin He

Keyword(s):

Image Enhancement ◽

Dynamic Range ◽

Color Constancy ◽

Human Perception ◽

Histogram Equalization ◽

Image Processing Algorithm ◽

Multi Scale ◽

Dynamic Range Compression ◽

Restoration Algorithm ◽

Color Restoration

The retinex is a human perception based image processing algorithm which provides color constancy and dynamic range compression. The multi scale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. But the MSRCR results suffer from lower global brightness and partial color distortion. In order to improve the MSRCR method, this paper presents a modified MSRCR algorithm to Landsat-5 image enhancement considering percent liner stretch and histogram adjustment. Finally, the effect of modified MSRCR method on Landsat-5 image enhancement is analyzed and the comparison with other color adjustment methods such as gamma correction and histogram equalization is reported in the experimental results.

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RESEARCH OF DIGITAL CAMERA DYNAMIC RANGE ON THE IMAGING PROCESSING BASIS

Devices and Methods of Measurements ◽

10.21122/2220-9506-2017-8-3-271-278 ◽

2017 ◽

Vol 8 (3) ◽

pp. 271-278

Author(s):

M Sutkowski ◽

Ya. N. Saukova

Keyword(s):

Dynamic Range ◽

Digital Camera ◽

Measuring Channel ◽

Blue Color ◽

Lower And Upper Bounds ◽

Color Target ◽

Color Channel ◽

Imaging Processing ◽

Colorimetric Measurements ◽

Target Sets

Digital images provide to determine photometric and colorimetric properties of objects subject to validation all elements of a measuring channel (digital camera, software, display) and solve the problem of their limited dynamic ranges. The aim of the study was to explore the dynamic range of a digital camera for use in photometric and colorimetric measurements.The Laboratory of Photonics at the Institute of Microelectronics and Optoelectronics (Warsaw Technical University, Poland) conducted a comparative experiment to determine the threshold of sensitivity, linearity and range of application the digital camera. Color target sets with certified brightness and chromaticity were created at the terminals and recorded with a digital camera with different exposure times. The authors propose a method to extend the dynamic range of a digital camera for red, green and blue color channel of intensities by pairing the calibration dependencies, and determine the true brightness and color of a point on the object by calculation.Calibration dependencies (triads) of digital camera for red, green and blue color channels intensities were constructed. These dependences allow determining lower and upper bounds of the dynamic range. Each triad has a form of the hysteresis loop. The experiment showed that the accuracy of this method is ± 3–5 %.

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A Correction Algorithm of Multi-View Image System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.631-632.395 ◽

2014 ◽

Vol 631-632 ◽

pp. 395-398

Author(s):

Xin Yang Wang ◽

Huan Xia Feng ◽

Jian Zhang

Keyword(s):

Light Source ◽

Color Constancy ◽

Histogram Equalization ◽

Experimental Results ◽

Image Correction ◽

Correction Algorithm ◽

Intrinsic Properties ◽

Image System ◽

Correction Effect ◽

Color Restoration

This paper, based on the Retinex Color Constancy Theory, proposes a novel multi-view image correction algorithm, which correction effect is very effective. Histogram equalization,retinex processing and color restoration are performed for multi-view images,and extract reflectance which describe object intrinsic properties to eliminate un-consistent light source influence.The experimental results show that corrected images not only have high color contract,also have consistent color appearance with others.

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Research of Soccer Robot Target Tracking Algorithm Based on Improved CAMShift

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.221.610 ◽

2011 ◽

Vol 221 ◽

pp. 610-614 ◽

Cited By ~ 1

Author(s):

Yi Hu Huang ◽

Jin Li Wang ◽

Xi Mei Jia

Keyword(s):

Probability Distribution ◽

Error Rate ◽

Tracking Algorithm ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Soccer Robot ◽

Color Target ◽

Dynamic Background ◽

Minimum Error ◽

Search Area

According to the vision needs of robot soccer and CAMShift tracking inefficient in dynamic background, a new tracking algorithm is brought forward to improve the CAMShift in this paper. A real-time updating background model is build, by traversing the search area for all target pixels to statistic and calculate the color probability distribution of the color target, statistical principles and minimum error rate of Bayesian decision theory are used to achieve a more accurate distinction between the target and the background. By comparing with the CAMShift, the new algorithm provides a better robustness in the soccer robot game and can meet the purposes of fast and accurate tracking.

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