Adverse Weather Denoising: Rain Streak Removal Algorithm
A sophisticated denoising program designed to eliminate rain streaks from heavy rainfall conditions and restore the original image clarity through advanced image processing techniques.
Explore MATLAB source code curated for "原图像" with clean implementations, documentation, and examples.
A sophisticated denoising program designed to eliminate rain streaks from heavy rainfall conditions and restore the original image clarity through advanced image processing techniques.
Implementing 8x8 block Discrete Cosine Transform (DCT) for image processing and using inverse DCT to restore original images from 8x8 blocks
A digital watermark processing system primarily consists of two key processes: watermark embedding and watermark detection. (1) Watermark Embedding: Digital watermark (X), original image (I), and key/public key (K) are processed through a digital watermark embedding algorithm to generate the watermarked image (I*). This typically involves spatial domain techniques like LSB manipulation or frequency domain transformations such as DCT/DWT. (2) Watermark Detection: Digital watermark (X), watermarked image (I*), and key/public key (K) are processed through a detection algorithm to extract the watermark or verify its presence using correlation analysis or statistical methods. The program has been successfully tested and debugged.
Implement image downsampling to reduce the original image size to one-fifth using interpolation algorithms and pixel averaging techniques.