Display of Digital Image Matrix Data and Its Fourier Transform

Program code descriptions: P0301 demonstrates digital image matrix data display and Fourier transform implementation using MATLAB's fft2 function for frequency domain analysis. P0302 implements image compression through 2D discrete cosine transform (DCT) using dct2 function and quantization techniques. P0303 enhances image contrast using grayscale transformation methods including logarithmic and power-law transformations. P0304 performs histogram equalization to improve image contrast distribution. P0305 simulates Gaussian white noise and salt-and-pepper noise corruption on images using random number generation. P0306 applies medfilt2 2D median filtering function to remove salt-and-pepper noise artifacts. P0307 implements mean filtering using filter2 function with convolution kernels for noise reduction. P0308 demonstrates adaptive Wiener filtering that automatically adjusts to local image statistics. P0309 explores five gradient-based sharpening methods including Sobel, Prewitt, and Laplacian operators. P0310 implements high-pass filtering and mask processing for edge enhancement. P0311 applies Butterworth low-pass filters for image smoothing with controlled frequency response. P0312 utilizes Butterworth high-pass filters for image sharpening in frequency domain. P0313 covers color enhancement and color space conversion techniques. P0314 applies edge detection algorithms like Canny and Sobel for edge extraction. P0315 performs morphological operations including erosion and dilation for image processing. P0316 implements image segmentation and object detection methods. P0317 extracts image features through template matching algorithms. P0318 applies machine learning methods for image classification and recognition. P0319 covers image compression and encoding techniques. P0320 implements deep learning-based image analysis and processing using neural networks.