Results 161 to 170 of about 1,011 (209)
Color constancy effects measurement of the Retinex theory.
Understanding chromatic adaptation is a necessary step to solve the color constancy problem for a variety of application purposes. Retinex theory justifies chromatic adaptation, as well as other color illusions, on visual perception principles. Based on the above theory, we have derived an algorithm to solve the color constancy problem and to simulate ...
D. Marini, A. Rizzi, C. Carati
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Eye detection under varying illumination using the retinex theory
Neurocomputing, 2013Eye detection plays an important role in face recognition because eyes provide distinctive facial features. However, illumination effects such as heavy shadows and drastic lighting change make it difficult to detect eyes well in facial images. In this paper, we propose a novel framework for illumination invariant eye detection under varying lighting ...
Cheolkon Jung, Licheng Jiao
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Analysis of the retinex theory of color vision
Journal of the Optical Society of America A, 1986If color appearance is to be a useful feature in identifying an object, then color appearance must remain roughly constant when the object is viewed in different contexts. People maintain approximate color constancy despite variation in the color of nearby objects and despite variation in the spectral power distribution of the ambient light.
D H, Brainard, B A, Wandell
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Influence Theory for Retinex Models
Topical Meeting on Color Appearance, 1987The color constancy problem is one of calculating reflectance values for surfaces under differing illuminants. Retinex theory (e.g., Land, 1986) states that relative receptor responses are used to recover surface reflectance after they have been normalized with respect to the responses of neighboring receptor responses.
Wm Wren Stine, John E. Sparrow
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Enhancement of Infrared Image Based on the Retinex Theory
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007The infrared imaging technique can be used to image the temperature distribution of the body. It's hopeful to be applied to the diagnosis and prediction of many diseases. Image processing is necessary to enhance the original infrared images because of the blurring.
Ying, Li +7 more
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Research on image enhancement algorithm based on Retinex theory
Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering, 2020Retinex is a method to simulate the imaging principle of human brain visual cortex, which has been widely used in solving uneven illumination. This paper introduces the origin and development of the Retinex theory firstly. Then according to the current research status of the Retinex model is divided into three types: Path-based model, variational model
Xueming Zhang, Jian Mao
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A Retinex theory based point sampling method
2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2011To accelerate the processing for integration, registration, representation and recognition of point clouds, it is of growing necessity to simplify the surface of 3-D models. This paper proposes a Retinex theory based points sampling method and the effectiveness of the sampling results are demonstrated by the registration.
Song, Kezong +4 more
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Recent Advances in Retinex Theory
Vision Research, 1985It is a cultural commonplace deriving from Newton that the colour of an object we see in the world around us depends on the relative amounts of red light, green light, and blue light coming from that object to our eyes. For a very long time it has been known that the colour of the object when it is part of a general scene will not change markedly with ...
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Shadow removal using Retinex theory
2011 Third Chinese Conference on Intelligent Visual Surveillance, 2011Shadows in images always cause problems to computer visual tasks, so how to remove shadow is an important topic of image processing. In this paper, we propose a new shadow removal method based on Retinex theory. We firstly use the gradient edge detection combined with 1-D illumination invariant image to detect the shadow area, then remove the shadow ...
null Guowen Ma, null Jinfeng Yang
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Single image dehazing motivated by Retinex theory
2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013Haze removal from a degraded image which is attenuated by the turbid media in the atmosphere is an important task in image and video processing. From a computer vision perspective, this task is extremely challenging because the haze is dependent on the unknown depth information, and will be under-constrained if only one single haze image is input.
Jianjun Zhou, Fugen Zhou
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