Single image defogging method by means of 2D CCA
A single image, image technology, applied in the field of single image dehazing using 2D CCA, can solve the problem of losing two-dimensional image data structure information, and achieve the effect of clear image, more stable estimation, and accurate estimation
Active Publication Date: 2015-01-21
NANJING UNIV OF SCI & TECH
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However, traditional CCA is not suitable for analyzing two-dimensional image data, because it needs to stretch the image data from two-dimensional to one-dimensional, which will lose the structural information of two-dimensional image data
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[0040] The implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments. In this embodiment, the FRIDA database and synthetic fog images (or natural fog images) established by the French National Research Institute for Traffic and Safety and the Land Bridge Central Laboratory are used for experiments.
[0041] Such as figure 1 As shown, firstly, the FRIDA database is used to construct the training set of foggy images and the training set of corresponding medium propagation maps, and then the foggy images (or natural foggy images) will be synthesized, such as figure 2 (a) (or image 3 (a)), denoted as y, and tested, the specific steps are as follows:
[0042] Step 1: Construct a training set of foggy images: use the FRIDA database to select 9 fog-free images, randomly set different fog concentrations, and synthesize a foggy image for each fog-free image through the depth information in the dat...
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The invention discloses a single image defogging method by means of 2D CCA. The method comprises the steps that firstly, a foggy image training set and a corresponding medium propagation image training set are constructed, and a projection matrix is trained by means of the 2D CCA; secondly, a fog-degraded image to be processed is preprocessed to be decomposed into testing image blocks, then the testing image blocks are projected into a subspace through the projection matrix, and K nearest blocks and the weights of the K nearest blocks of the testing image blocks in the subspace in the foggy image training set are solved; thirdly, the projection of a medium propagation image in the subspace is solved by means of the mark numbers of the K nearest blocks and the weights of the K nearest blocks; fourthly, the medium propagation image blocks of the subspace are projected back to an original space to solve the medium propagation image of the original space, the medium propagation image of the original space is refined to obtain the overall atmosphere optical value of the fog-degraded image to be processed, and a two-color atmospheric scattering model is utilized for obtaining a defogged image. According to the single image defogging method, images do not need to be shot in a fixed scene, the training sets can be repeatedly used, the medium propagation image can be accurately estimated, and the clear image can be recovered.
Description
technical field [0001] The invention belongs to the technical field of image enhancement, in particular to a method for dehazing a single image by using 2D CCA. Background technique [0002] Nowadays, smog occurs frequently, which has a great impact on people's daily life. Due to foggy weather conditions, a large number of suspended particles in the atmosphere will absorb and scatter light, and images taken under such weather conditions often have poor visual effects, such as decreased contrast, unclear object outlines, etc. , which will cause great inconvenience to subsequent applications of images, such as target tracking, feature extraction, automatic navigation, etc. [0003] The existing image defogging methods can basically be divided into two categories: multiple image defogging and single image defogging. The multi-image defogging method takes multiple shots of the same scene at different times, under different weather conditions or with different polarization filt...
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Inventor 王力谦肖亮韦志辉刘小惠
Owner NANJING UNIV OF SCI & TECH