A video denoising method, device, mobile terminal and storage medium
A video and motion technology, applied in the field of video processing, to achieve the effect of enriching dimensions, improving quality, and reducing the amount of calculation
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Embodiment 1
[0037] figure 1 It is a flow chart of a video denoising method provided by Embodiment 1 of the present invention. This embodiment is applicable to calculating the motion probability of a single point by dividing video data into blocks with various types of scales, so as to perform 3DNR. This method can It is performed by a video denoising device, which can be implemented by software and / or hardware, and can be configured in a mobile terminal, such as a mobile phone, a tablet computer, a smart wearable device (such as a smart watch, etc.), etc., the The method specifically includes the following steps:
[0038] S101. Acquire original image data and reference image data in video data.
[0039] In this embodiment, the acquired video data is video data waiting for denoising, and the video data waiting for denoising generally refers to video data generated, transmitted or played in real-time business scenarios.
[0040] Generally speaking, denoising processing is performed on the...
Embodiment 2
[0067] image 3 It is a flow chart of a video denoising method provided by Embodiment 2 of the present invention. Based on the foregoing embodiments, this embodiment further refines the processing operations of block processing, calculation of target motion probability and 3DNR. The method specifically includes Follow the steps below:
[0068] S301. Acquire original image data and reference image data in video data.
[0069] Wherein, the original image data is the image data of the current frame to be denoised, and the reference image data is the denoised image data of the previous frame.
[0070] S302. For a scale whose type is quantity, determine one or more first target values.
[0071] In this embodiment, the number is used as the way to divide the blocks, that is, the image data (original image data, reference image data) is divided into a specified number of blocks (original image blocks, reference image blocks), and for this number, one or A plurality of first target...
Embodiment 3
[0193] Figure 8 A schematic structural diagram of a video denoising device provided in Embodiment 3 of the present invention, the device may specifically include the following modules:
[0194] The image data acquisition module 801 is used to acquire original image data and reference image data in the video data, the original image data is the image data to be denoised in the current frame, and the reference image data is the denoised image of the previous frame data;
[0195] An image data block module 802, configured to divide the original image data into original image blocks and the reference image data into reference image blocks in multiple types of scales;
[0196] A target motion probability calculation module 803, configured to calculate the target motion probability between the original image data and the reference image data according to the original image block and the reference image block under various types of scales;
[0197] A three-dimensional denoising pr...
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