elementthatbenefitsmanyimageprocessingtasks,intrinsicimagedecompositionhasbeenstudiedextensively.Traditionalmethodsusuallyconstructtheregularizationtermsbasedonpriorknowledgeinenergymodelstosolvethisproblem.Thoughtheyprovidetheoreticalguarantee,theircalculationproceduresoftenconsumemuchresource.Recently,network-basedapproacheshave...
Shenzhen University 3Department of Computer Science, City University of Hong Kong 4School of Electrical and Electronic Engineering, Nanyang Technological University Abstract Retinex model-based methods have shown to be effec- tive in layer-wise manipulation with ...
Variational Retinex model-based methods for low-light image enhancement have been popularly studied in recent years. In this paper, we present an enhanced variational Retinex method for low-light natural image enhancement, based on the initial smoother illumination component with a structure extraction ...
(TotalVariationModel,TV [6],基于大小尺度特征方法(Small-andLarge-scalefeatures,S L)[7] 1基于Retinex理论的光照预处理方法1.1Retinex理论Retinex理论广泛的应用在人脸识别领域中,并用以去除光照的影响 根据Retinex理论,图像由光照分量和反射分量的乘积构成:I(x,y)=R(x,y)·L(x,y)(1)其中,I(x,y)为原...
When enhancing low-light images, many deep learning algorithms are based on the Retinex theory. However, the Retinex model does not consider the corruptions hidden in the dark or introduced by the light-up process. Besides, these methods usually require a tedious multi-stage training pipeline and...
However, theRetinex model does not consider the corruptions hidden inthe dark or introduced by the light-up process. Besides,these methods usually require a tedious multi-stage ...文档格式:PDF | 页数:10 | 浏览次数:5 | 上传日期:2024-11-10 11:43:29 | 文档星级: ...
Model-based methods Traditional methods for LLIE can be roughly categorized into several aspects, including Tone Mapping11, Gamma Correction (GC)12, Histogram Equalization (HE)13, and Retinex-based method14. Tone Mapping is used to create images with more details, color, and contrast, while maint...
By these methods, the segmentation accuracy is improved via the estimated bias and in return the bias is better estimated by approaching the intensity to be piecewise constant. However, these methods also have some problems unsolved. For example, the LIC model and LSACM model may get local ...
However, HE-based methods neglect the noise hidden in the dark region of low-light images. The Retinex model is a color perception model of human vision, which consists of illumination and reflectance [13,14]. The aim of Retinex-based algorithms is to estimate the right illumination image or...
This is the official code for "RetinexMamba: Retinex-based Mamba for Low-light Image Enhancement." For the paper, please see {Arxiv} Abstract In the field of low-light image enhancement, traditional Retinex methods and deep learning-based techniques such as Retinexformer each display unique adva...