Spatial Domain Filtering of Images Using Five Different Operators

This section demonstrates five different operators for spatial domain filtering of images to achieve enhanced deblurring effects. These operators - potentially including common filters like Gaussian, Laplacian, Sobel, Prewitt, and Median filters - can be selectively applied based on image characteristics and specific requirements to obtain optimal filtering outcomes. Each operator functions through specific convolution algorithms: Gaussian smoothing reduces noise while preserving edges, Laplacian operators enhance fine details, and gradient-based operators (Sobel/Prewitt) improve edge detection. The implementation typically involves creating appropriate convolution kernels and applying them to image matrices using nested loops or built-in functions like MATLAB's imfilter(). Through this processing method, we can effectively improve image clarity and detail representation, making images more vivid and realistic. This approach allows for significant enhancement of image quality, enabling viewers to better appreciate the finer details and content within the images.