Method for automatically determining whether to perform denoising

A method for automatically determining whether to perform denoising, comprising:

• S1:
• scanning a sample by using a light field microscopy system to obtain a light field microscopic image containing 4D information, wherein the sample is a sample to be 3D reconstructed;
• S2:
• rearranging the light field microscopic image to obtain a multi-view rearranged image;
• and
• S3:
• calculating a cleanliness score of the multi-view rearranged image;
• and
• determining whether to perform a denoising process on the multi-view rearranged image, based on the cleanliness score of the multi-view rearranged image;
• wherein S3 specifically comprises:
• S31:
• selecting a central view image, an image adjacent to a left side of the central view image, and an image adjacent to a right side of the central view image from the multi-view rearranged image by using microlens array parameters used by the scanning light field microscopy system;
• S32:
• obtaining the cleanliness score of the multi-view rearranged image based on the central view image, the image adjacent to the left side of the central view image, and the image adjacent to the right side of the central view image;
• S33:
• comparing the cleanliness score of the multi-view rearranged image with a preset threshold,
• wherein if the cleanliness score of the multi-view rearranged image is greater than or equal to the preset threshold, the denoising process does not need to be performed on the multi-view rearranged image;
• and
• if the cleanliness score of the multi-view rearranged image is less than the preset threshold, S34 is performed;
• S34:
• dividing, into n*n sub-images, each of rearranged images of three views which are the central view image, the image adjacent to the left side of the central view image, and the image adjacent to the right side of the central view image, wherein H/200≤n≤H/100, H indicates a pixel height of the central view image, the image adjacent to the left side of the central view image, and the image adjacent to the right side of the central view image;
• S35:
• calculating corresponding sub-images of the images of three views to obtain an image cleanliness score matrix;
• S36:
• comparing a maximum value in the image cleanliness score matrix with the preset threshold,
• wherein if the maximum value in the image cleanliness score matrix is greater than or equal to the preset threshold, the denoising process does not need to be performed on the multi-view rearranged image;
• and
• if the maximum value in the image cleanliness score matrix is less than the preset threshold, the denoising process needs to be performed on the multi-view rearranged image.