Image processing method and device and computer equipment
An image processing and image block technology, applied in the Internet field, can solve the problem of single processing method, and achieve the effect of good filtering effect, rich processing method and small calculation amount
Active Publication Date: 2021-12-17
TENCENT TECH (SHENZHEN) CO LTD
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[0003] At present, temporal filtering (Temporal Filtering, TF) processing technology is usually used to denoise video. The method used is usually to divide the image frame into image blocks of preset size, and then directly perform Motion estimation (Motion Estimation, ME), so as to determine the motion compensation (Motion Compenration, MC) result of the image frame, this processing method is relatively simple
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[0030] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0031] The embodiment of the present application provides an image processing scheme, which can be applied to various fields such as cloud technology, artificial intelligence, blockchain, intelligent transportation, assisted driving, etc. Specifically, it can reduce the number of target images to be encoded The amount of calculation for motion compensation of the frame is reduced, thereb...
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The invention provides an image processing method and device and computer equipment. The method can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic and auxiliary driving. The method comprises the following steps: acquiring a target image frame; determining a motion estimation strategy of each first image block according to the image content of the target image frame; if the strategy is a whole block estimation starting strategy, performing motion compensation on each first image block, and determining a motion compensation result of the target image frame according to motion compensation results of the N first image blocks; if the strategy is a whole block estimation closing strategy, dividing each first image block into M unit image blocks, performing motion compensation on each unit image block, and determining a motion compensation result of the target image frame according to motion compensation results of the N * M unit image blocks; and filtering the target image frame according to the motion compensation result of the target image frame to obtain a filtering result of the target image frame. The accuracy of the filtering result and the filtering efficiency can be improved.
Description
technical field [0001] The present invention relates to the technical field of the Internet, in particular to an image processing method, an image processing device and computer equipment. Background technique [0002] With the rapid development of computer technology, the development of video coding technology has been greatly promoted. In the field of video encoding technology, video capture devices are often affected by factors such as their own defects, shooting angles, and light, resulting in noise in the played video images. Therefore, denoising video has become a research focus in the field of video. [0003] At present, temporal filtering (Temporal Filtering, TF) processing technology is usually used to denoise video. The method used is usually to divide the image frame into image blocks of preset size, and then directly perform Motion estimation (Motion Estimation, ME), so as to determine the motion compensation (Motion Compenration, MC) result of the image frame,...
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IPC IPC(8): G06T7/215G06T7/223G06T9/00
CPCG06T7/215G06T7/223G06T9/00G06T2207/10016G06T2207/20021
Inventor 焦华龙
Owner TENCENT TECH (SHENZHEN) CO LTD