Adaptive video sharpening method and device based on table lookup method, equipment and storage medium
By adopting an adaptive video sharpening method based on lookup table, and utilizing gradient calculation and lookup table initialization, the problem of high computational cost of adaptive sharpening algorithms is solved, enabling real-time video processing and transcoding, improving image clarity and reducing noise.
CN115063314BActive Publication Date: 2026-06-05SHANGHAI WONDERTEK SOFTWARE CORP LTD
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Patent Information
- Application Number
- CN202210712883.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-22
- Publication Date
- 2026-06-05
- Estimated Expiration
- 2042-06-22
AI Technical Summary
Technical Problem
Existing adaptive sharpening algorithms involve large amounts of computation, resulting in slow video processing speeds and an inability to achieve real-time transcoding.
Method used
An adaptive video sharpening method based on lookup table is adopted. The sharpening weight is calculated through gradient calculation and lookup table initialization. Combined with Gaussian blur and high-frequency information processing, the adaptive sharpening of video frames is realized.
Benefits of technology
While improving image clarity, it also reduces noise generation, enabling real-time video processing and transcoding.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a kind of self-adapting video sharpening method, device, equipment and storage medium based on look-up table method, method includes: extracting Y component in the image of video frame to be sharpened;Gradient and gradient intermediate value of image are calculated;Based on look-up table method initialization, corresponding sharpening weight is obtained by searching look-up table method according to the pixel value of gradient image and gradient intermediate value;Smoothed image is obtained using Gaussian blur;High-frequency information image is calculated according to Y component image and smoothed image;Sharpening mask is calculated according to high-frequency information image and sharpening weight, and the image after outputting sharpening mask;Sharpening mask image and smoothed image are merged, and the output Y component image after sharpening is merged with UV component.Utilize look-up table method to solve the problem of large amount of adaptive sharpening calculation, realize the adaptive sharpening adjustment of image high-frequency information, reduce the generation of noise in the case of clear picture, and can be applied to real-time video processing.
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