Image Denoising Using Total Variation Method
This program implements total variation-based image denoising, featuring efficient noise reduction through gradient minimization with practical MATLAB implementation examples.
QR Code as a High-Speed, Omni-Directional Recognizable 2D Barcode
QR Code, as a high-speed, omni-directionally recognizable two-dimensional barcode, has been applied across various industries and holds significant development potential. This study addresses challenges in QR code image recognition, including image noise interference, partial QR code presence in captured images, tilt, and geometric distortion. It proposes an enhanced median filtering approach for noise removal, utilizes QR code symbol characteristics for positioning and tilt correction through rotation, and employs control point transformation with bilinear interpolation for geometric correction in mildly distorted images. Experimental results demonstrate that the proposed method is simple yet effective, significantly improving barcode recognition accuracy.
Two-Dimensional Adaptive Wiener Filtering
Two-dimensional adaptive Wiener filtering and its impact on image noise, including implementation approaches and algorithm characteristics for noise reduction.
Total Variation Algorithm for Image Noise Removal
This program employs the total variation algorithm to eliminate image noise and enhance visual quality, with implementation focusing on variational calculus and pixel gradient minimization techniques.