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The Fundamentals of Image Processing: Enhancement and Transformation

Using kernels (small matrices) to blur or sharpen images. A Mean Filter reduces noise by averaging pixel neighborhoods, while a Laplacian Filter enhances edges by detecting rapid changes in intensity. 2. Geometric Transformations CDVIP-LB02A.7z

Using Gaussian blurring to remove high-frequency noise. 4. Conclusion CDVIP-LB02A.7z

The simplest form of enhancement, where each pixel is modified based solely on its own value. Common examples include brightness adjustment and contrast stretching. CDVIP-LB02A.7z