Light-source color estimation method of color images on basis of sorting correction
A color image and light source technology, applied in the field of computer vision and image processing, to achieve the effect of small quantity, high precision and fast speed
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Embodiment 1
[0047] Download all the images (321 in total) of the currently internationally recognized image library SFU object for estimating scene light source colors and their corresponding real light source colors (standard light source) L. The image size is 468×637, and the first 214 images in the image library image as the training set image, select one of the remaining images tools_ph-ulm.tif (such as figure 2 Shown) is tested as the test image to be processed, and all images have not undergone any preprocessing of the camera itself (such as tone correction, gamma value correction). Then the detailed steps of the present invention are as follows:
[0048] S1. Extract the edge features of the training image: use 214 color images of known light sources as the original training set T, and perform convolution operations with the template G (Gaussian gradient operator) after derivation of the Gaussian distribution to obtain each pixel of the image The edge value corresponding to the po...
Embodiment 2
[0067] The pixel values of each color component of the original input image are respectively corrected by using the light source color values under each color component calculated in step S5. Taking a pixel point (0.335,0.538,0.601) of the test image input in step S3 as an example, the corrected result is (0.335 / 0.3312,0.538 / 0.3365,0.601 / 0.3430)=(1.0115,1.5988,1.7522), After normalization, it becomes (0.2319, 0.3665, 0.4016), and then multiply the corrected value by the standard white light coefficient Get (0.1339, 0.2116, 0.2319) as the pixel value of the final output corrected image, do similar calculations for other pixels of the original input image, and finally get the corrected color image, such as Figure 5 shown.
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