MATLAB Implementation for Global Motion Compensation in Image Processing

In the field of image processing, global motion compensation for video sequences is a crucial process that enhances video quality through systematic frame-by-frame analysis. This program automatically detects and compensates for global motion in video sequences by analyzing key features across consecutive frames, typically using motion estimation algorithms like optical flow or block matching methods. By applying affine or projective transformations to align frames, it ensures stabilized and smoother video playback. Additionally, the implementation incorporates supplementary image enhancement functions such as noise reduction through adaptive filtering techniques, sharpening via convolution with Laplacian or unsharp masking kernels, and contrast enhancement using histogram equalization or CLAHE algorithms. These integrated processing modules collectively improve video clarity and visual quality, making this solution highly applicable in modern image processing applications for delivering superior viewing experiences to end-users.