We propose a robust Retinex-based model with reflectance map re-weighting that can improve the brightness level of the low-light image and re-balance the ...
It can estimate the reflectance map, suppress noise, and re-balance the brightness simultaneously. A series of experimental results on a variety of popular ...
It can estimate the reflectance map, suppress noise, and re-balance the brightness simultaneously. A series of experimental results on a variety of popular ...
A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement. https://doi.org/10.1016/j.patcog.2023.109823 ·.
Semantic Scholar extracted view of "A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement" by Fan Jia et al.
People also ask
What is the retinex theory of reflectance?
Retinex theory is a computational model for human color constancy. It defines a mechanism for computing lightness values from an image. Retinex theory proposes that the lightness values for each class of photoreceptors are derived independently and that this triplet of values correlates with perceived reflectance.
What is the retinex theory of image enhancement?
Retinex Theory refers to a theory that focuses on removing unfavorable illumination effects from an image by separating it into two components - the reflection image and the illumination image. This theory is based on the assumption that the given image is the pixel-wise multiplication of these two images.
What is the retinex algorithm?
The original retinex algorithm, proposed by Land [13], considers all possible paths starting at. random points and ending at the pixel at which the lightness value is computed. This lightness is. then defined as the average of the products of ratios between the intensity values of subsequent edge. points in the path.
What is low light image enhancement?
Low-Light Image Enhancement is a computer vision task that involves improving the quality of images captured under low-light conditions. The goal of low-light image enhancement is to make images brighter, clearer, and more visually appealing, without introducing too much noise or distortion.
Pattern Recognit. A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement, pdf. 2023, Pattern Recognit. SurroundNet: Towards ...
During the model training, pairs of non-uniform images are generated by weighted mixing across photos with different brightness levels. These mixed pictures ...
Jan 4, 2024 · The Retinex model is reformulated, and a weighting map is introduced for the reflectance, allowing us to adjust nonuniform brightness in images.
Missing: re- | Show results with:re-
This architecture features innovative illumination estimators and damage restorer mechanisms that maintain image quality during enhancement.
Aug 16, 2022 · We propose a Constraint Low-Rank Approximation Retinex model (CLAR). In this model, two exponential relative total variation constraints were imposed.