Image Sharpening Using 5 Different Gradient Enhancement Methods
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We can enhance image clarity and detail using five different gradient enhancement methods, making images appear sharper and more vivid. The program successfully implements these techniques through algorithms such as Sobel, Prewitt, Laplacian, and custom gradient operators, typically involving convolution operations with specific kernels. Each method processes image gradients differently—Sobel emphasizes horizontal/vertical edges, Prewitt provides isotropic response, while Laplacian enhances fine details through second-order derivatives. Our implementation includes proper edge handling and parameter optimization to ensure accurate results. This approach demonstrates practical image processing techniques that can improve understanding and application of computer vision fundamentals.
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