Please select the most similar patent number from A, B, C and D. Which number is?
Disclosed are an image processing method and apparatus, a mobile terminal video processing method and apparatus, a device and a medium. The image processing method comprises: determining an image attribute of each of a plurality of image blocks in an image to be processed; determining, according to the image attribute of each image block, a filtering model corresponding to each image block; and filtering each image block by means of the filtering model corresponding to each image block, so as to obtain a filtered image of the image to be processed.
A: The present application relates to the technical field of image processing, and disclosed are a neural network-based image processing method and apparatus, for use in ensuring image quality and reducing image processing delay. The method comprises: inputting multiple frames of images to be processed into a first neural network for calculation to obtain a first image; and respectively inputting multiple image groups into multiple second neural networks for calculation to respectively obtain multiple frames of second images, each image group comprising the first image and one of the multiple frames of images to be processed.
B: Disclosed are an image processing method and apparatus, a terminal and a storage medium. The method comprises: determining a Bayer matrix according to a difference, Z bits, between a colour depth, X bits, of an image to be processed and a colour depth, Y bits, of a display device; dividing the image to be processed according to the Bayer matrix, and obtaining Q image blocks; assigning pixel values represented by the Y bits of the tth image block among the Q image blocks to a matrix Bt(i,j), and assigning pixel values represented by the remaining Z bits of the tth image block to a matrix Pt(i,j); processing, according to a pre-set operation relationship, a pre-set numerical value and a sum St of element values in the matrix Pt(i,j) to obtain Kt, wherein the operation relationship comprises a rounding operation; and utilizing Kt to correct element values in Bt(i,j), and using the corrected element values as pixel values of corresponding pixels on the image to be processed.
C: The present application relates to the field of artificial intelligence, and provides a method, device and system for processing an image. The method comprises: obtaining a plurality of image blocks, the plurality of image blocks being obtained by segmenting a pathological image to be analyzed; inputting the plurality of image blocks into a first analysis model to obtain a first analysis result, and classifying, by the first analysis model, each of the plurality of image blocks according to the number or area of suspicious lesion components; inputting at least one second type image block in the first analysis result into a second analysis model, and analyzing, by the second analysis model, the position of a suspicious lesion component of each input second type image block to obtain a second analysis result; finally, integrating the first analysis result and the second analysis result to obtain a final analysis result of the pathological image. According to the method, a pathological image is analyzed by means of two analysis modes, so that the problem of misjudgment of pathological image analysis results caused by human subjective factors can be reduced.
D: Provided are an image interest point detection method and device. The method comprises: acquiring an original input image; performing down-sampling processing on the original input image, so as to obtain a plurality of sampling images with different resolution ratios; dividing each sampling image into a plurality of small image blocks; performing filtering processing on the plurality of small image blocks in each sampling image in sequence by using a Gauss-Laplace filter, so as to obtain filtering images of the plurality of small image blocks in each sampling image; and acquiring image interest points of the filtering images of the plurality of small image blocks in each sampling image. The present invention is used for solving the problems of more occupied memory resources and low detection speed in the prior art.
Answer: A