Low-illumination video enhancement method and system based on dark channel and motion estimation
By introducing adaptive multi-scale minimum filtering and motion estimation optimization transmission in low-illumination video enhancement, the problem of real-time and insufficient computing resources of low-illumination video enhancement in the prior art is solved, higher brightness and contrast are achieved, and halo and color distortion are reduced.
CN119722509AActive Publication Date: 2025-03-28CHONGQING UNIV OF POSTS & TELECOMM
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Patent Information
- Application Number
- CN202411803693.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-10
AI Technical Summary
Technical Problem
The prior art has problems of real-time and insufficient computing resources in the field of low-illumination video enhancement, and it is difficult to effectively deal with halo and color distortion problems in videos.
Method used
The dark channel image is obtained by using an adaptive multi-scale minimum filtering mechanism, and the transmission calculation is optimized through motion estimation, combined with the optimized estimation of atmospheric light values to reduce halo effect and color distortion.
Benefits of technology
Improves the brightness and contrast of video images, reduces halo and color distortion, and enhances the real-time and efficiency of video enhancement.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention belongs to the technical field of computer vision and image processing, and particularly relates to a low-illumination video enhancement method and system based on a dark channel and motion estimation, and the method comprises the steps: obtaining an original low-illumination video which comprises a plurality of original image groups with the same size; performing image pixel inversion on all video frames in the original image group to obtain a pseudo fog image group; carrying out improved adaptive multi-scale minimum filtering to obtain a dark channel image group; carrying out absolute error and block constraint on adjacent image frame pixel blocks, and carrying out transmissivity matching or transmissivity block calculation to obtain the transmissivity of each image frame of the dark channel image group; stretching the transmissivity of each image frame to obtain a defogging result of each image frame of the dark channel image group; and carrying out image pixel inversion on the defogging result of each image frame to obtain an enhanced image video of the original low-illumination video. The method has the advantages of good video enhancement effect, low operation cost and good real-time enhancement capability.
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