Abstract
In the case of complex illumination background, the image has fuzziness and chromatic aberration, which can improve the imaging effect of the image by white balance chromatic aberration compensation. The traditional method uses the contour feature fusion adaptive matching method to compensate the white balance under the complex illumination background, which leads to the good color difference compensation effect when the image pixel is low. A white balance color compensation algorithm for fuzzy chromatic aberration based on wavelet packet decomposition is proposed. The original image was denoised and filtered. The white balance characteristics of the image were analyzed and extracted based on the wavelet packet decomposition method, and the adaptive balance design was carried out to realize the white balance and color difference compensation of the art design chromatic aberration image. By using the known pixel information of the image block to be repaired, the statistical properties of the image block to be repaired are predicted, and the matching cost of the image block to be matched that meets the restriction conditions is calculated. By introducing the objective factor, the matching cost function is improved to balance the restoration process, and the unnatural problem caused by the repeated appearance of some image details in the restoration results is solved. The simulation results show that the method can effectively balance the color difference of the image, improve the aesthetic feeling of the image, and improve the performance of the detail features of the image. The peak signal-to-noise ratio is high.
Highlights
In the field of image processing, it is often faced with some images with complex lighting background for imaging beautification processing, so as to improve the beauty of the image and the ability to recognize the details of such images
Slight off-color Little off-color Small color difference Large color difference Big color difference methods, this paper proposes a white balance color compensation algorithm based on wavelet packet decomposition for fuzzy color aberration images. e wavelet packet decomposition method is used to decompose the details and extract the features of the fuzzy chromatic aberration image. e wavelet analysis method has spatial and temporal resolution, and the calculation is simple
Due to the poor natural conditions of imaging under multiple illumination background, the image is relatively blurred and produces color aberration, which is sensitive to the difference between the external environment and the surrounding color, resulting in errors and distortions in the imaging equipment’s view-taking and intelligent analysis, and reduces the imaging quality. is paper proposes a white balance chromatic aberration compensation algorithm for fuzzy color images based on wavelet packet decomposition
Summary
In the field of image processing, it is often faced with some images with complex lighting background for imaging beautification processing, so as to improve the beauty of the image and the ability to recognize the details of such images. Under the background of multiple concentrating images, affected by the light of various colors, the image appears white balance deviation and imbalance, resulting in color cast. E fuzzy white balance chromatic aberration compensation of color images can smooth and beautify the image, realize the optimization of multi-light background image, and improve the image quality of imaging. A fuzzy color image based on wavelet packet decomposition of the white balance chromatic aberration compensation algorithm first described the complex illumination under the background of the image acquisition system, . En the noise in the image acquisition process is filtered out, and the image features are analyzed and extracted based on the wavelet packet decomposition method and the color white balance based on adaptive equalization is designed. A fuzzy color image based on wavelet packet decomposition of the white balance chromatic aberration compensation algorithm first described the complex illumination under the background of the image acquisition system, . en the noise in the image acquisition process is filtered out, and the image features are analyzed and extracted based on the wavelet packet decomposition method and the color white balance based on adaptive equalization is designed. e white balance chromatic aberration compensation for fuzzy chromatic aberration image is realized, and the performance is verified by simulation experiments, which shows the effectiveness of the proposed method
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