Video image noise evaluation method and device
A video image and noise estimation technology, applied in the field of noise recognition, can solve the problems of noise reduction processing, rough noise, complex implementation process, etc., and achieve a good supporting effect
Pending Publication Date: 2022-08-09
BIGO TECH PTE LTD
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[0003] In related technologies, there is a scheme for noise estimation from the perspective of signal filtering. In this way, noise estimation is rough and unstable, and the effect is limited and time-consuming in practical applications; The noise determination scheme of the method is also not detailed enough, and the determined noise cannot be processed locally in the follow-up, and the deep learning model used usually requires a large number of fine-labeled processes to achieve satisfactory results. A large amount of video noise data that is sufficient and fully labeled usually does not exist and requires a lot of effort to complete high-quality labeling, so the implementation process is relatively complicated
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[0031] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that, the specific embodiments described herein are only used to explain the embodiments of the present application, but are not intended to limit the embodiments of the present application. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all of the structures related to the embodiments of the present application.
[0032] The terms "first", "second" and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, a...
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The embodiment of the invention discloses a video image noise evaluation method and device. The method comprises the following steps: carrying out noise estimation on a video image to obtain noise data of each pixel point in the video image; performing region division on the video image to obtain a foreground region and a background region; and determining the total image noise information of the video image, the foreground noise information corresponding to the foreground region and the background noise information corresponding to the background region according to the noise data. According to the scheme, accurate positioning of noise points can be realized, the noise level of the video image can be accurately evaluated, and the image quality is improved. Noise level estimation with more purposiveness and more conforming to subjective cognition is obtained, and good support is provided for follow-up directional noise reduction processing.
Description
technical field [0001] The embodiments of the present application relate to the technical field of noise identification, and in particular, to a method and apparatus for evaluating noise in a video image. Background technique [0002] With the continuous development of live video services and the popularization of applications, live video has become a very important part of ordinary people's life and social life. At the same time, audiences have higher requirements for the quality and picture quality of live video itself. Whether there are more noise points in the video picture is a measurement factor that significantly affects the visual perception of the audience and the anchor. Noise, as an abnormal signal in the picture, has complex causes and different visual performance, so it is necessary to accurately describe the video picture. The noise in the video is also a very key link to improve the quality of live broadcast, which can effectively evaluate the noise level of t...
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IPC IPC(8): G06T5/00G06T7/194G06N3/08G06N3/04G06T7/13
CPCG06T7/194G06N3/04G06N3/08G06T2207/20081G06T2207/10016G06T5/70
Inventor 杨莹靳凯
Owner BIGO TECH PTE LTD