Noise suppression algorithm in high dynamic range image fusion process

Abstract

The invention relates to the technical field of high dynamic range, and discloses a noise suppression algorithm in a high dynamic range image fusion process, which comprises a brightness partition, the output end of the brightness partition is in signal connection with the receiving end of a block filter, and the output end of the block filter is in signal connection with the receiving end of a structure tensor. The output end of the structure tensor is in signal connection with a receiving end of noise level estimation, the output end of noise level estimation is in signal connection with a receiving end of sparse denoising, the output end of sparse denoising is in signal connection with a receiving end of image reconstruction, and the output end of image reconstruction is in signal connection with a fused receiving end. Noise levels are estimated for different brightness areas of the image so as to guide sparse denoising of the image, noise of a low-brightness area of the image can be effectively suppressed, and a result obtained through the algorithm is basically invisible in image noise, free of color distortion, good in image texture retention and free of an excessive smooth phenomenon.

Description

technical field [0001] The invention relates to the technical field of high dynamic range, in particular to a noise suppression algorithm in the fusion process of high dynamic range images. Background technique [0002] High dynamic range (HDR) images can accurately represent the dynamic range of real scenes, so they have received widespread attention. The HDR image is obtained by synthesizing multiple low dynamic range images with different exposures, which overcomes the limitation of the small dynamic range of traditional LDR images. At present, there are two main methods for obtaining HDR images: The first method is to map the LDR image to the irradiation domain by estimating the camera response curve, and then fuse it in the irradiation domain to obtain an image with a wide dynamic range. However, the HDR image obtained by this method cannot be displayed on conventional image equipment, and tone mapping is also required. The second type of method is to directly fuse mu...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a noise suppression algorithm in the high dynamic range image fusion process, which has the advantages of retaining the detailed information of the image while effectively suppressing the noise in the low and dark areas of the image, and solves the problem of the existing HDR image The noise suppression algorithm in the fusion process does not consider the noise level of the image in different brightness areas, which is prone to the problem of bad visual phenomena such as loss of details and blurring

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