图像拼接篡改检测方法、电子设备及存储介质
By combining superpixel segmentation and color filter array interpolation, and using Laplacian edge detection to eliminate discrete points, a clear stitching contour is fitted, solving the problems of discontinuous stitching region positioning and numerous discrete points in existing technologies, thus achieving higher positioning accuracy and image evidence reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA PETROLEUM & CHEMICAL CORP
- Filing Date
- 2021-10-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing digital image splicing tampering detection methods suffer from problems such as insufficient continuity in identification, a large number of discrete points, and low robustness when recognizing the outline of spliced regions, making it difficult to provide clear spliced region localization.
By combining superpixel segmentation and color filter array interpolation, binarization is performed by establishing the squared difference matrix of pixel values before and after re-interpolation. Laplacian edge detection is used to eliminate discrete points and fit a clear stitched contour.
It improves the accuracy of locating the spliced and tampered areas, provides a clearer outline of the spliced areas, and enhances the reliability of image forensics.
Smart Images
Figure CN116012398B_ABST