A color balance method and device, electronic equipment and storage medium
By performing distortion correction and inverse perspective transformation on the four video images captured by the surround-view camera, and combining this with a curve-fitting color balance method, the problem of insufficient adaptability and robustness in the panoramic surround-view system was solved, achieving a more efficient color balance effect.
CN117336619BActive Publication Date: 2026-06-30CHINA FAW CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA FAW CO LTD
- Filing Date
- 2023-10-26
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Existing color balance methods have poor adaptability and low robustness in panoramic surround view systems, and cannot meet the requirements of panoramic surround view.
Method used
Distortion correction is performed on four video images captured by a surround-view camera, inverse perspective transformation is performed to generate a top view, and color balance is performed based on curve fitting to obtain the target top view.
Benefits of technology
The adaptability and robustness of the color balance method have been improved to meet the requirements of panoramic surround view systems.
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Smart Images
Figure CN117336619B_ABST
Abstract
This invention discloses a color balancing method, apparatus, electronic device, and storage medium. The method includes: acquiring four video images captured by a surround-view camera; performing distortion correction on the four video images to obtain four target video images; wherein the four video images are ultra-wide-angle images of the target object in four directions (front, back, left, and right); performing inverse perspective transformation on the four target video images to generate four top-view images; and performing color balancing on any one top-view image based on curve fitting to obtain the target top-view. This invention achieves color balancing through curve fitting, solving the problems of poor adaptability and low robustness of existing methods, and improving the adaptability and robustness of color balancing methods.
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