二维离散余弦变换 Resources

Showing items tagged with "二维离散余弦变换"

P0301: Display of digital image matrix data and its Fourier transform implementation using fft2 function. P0302: Image compression using 2D Discrete Cosine Transform (DCT) with dct2 function. P0303: Image contrast enhancement through grayscale transformation techniques. P0304: Histogram equalization for image enhancement. P0305: Simulation of Gaussian white noise and salt-and-pepper noise effects on images. P0306: Median filtering using medfilt2 function for salt-and-pepper noise removal. P0307: Mean filtering implementation using MATLAB's filter2 function for noise reduction. P0308: Adaptive Wiener filtering for image restoration. P0309: Image sharpening using five different gradient enhancement methods including Sobel and Prewitt operators. P0310: High-pass filtering and mask processing techniques. P0311: Image smoothing using Butterworth low-pass filter implementation.

MATLAB 224 views Tagged
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Program Code Descriptions for Image Processing Algorithms: P0301 - Display of digital image matrix data and Fourier transform implementation using fft2 function; P0302 - Image compression via 2D discrete cosine transform (DCT) with dct2 function; P0303 - Image contrast enhancement through grayscale transformation techniques; P0304 - Histogram equalization for image enhancement; P0305 - Simulation of Gaussian white noise and salt-and-pepper noise effects on images; P0306 - Salt-and-pepper noise filtering using medfilt2 2D median filtering function; P0307 - Mean filtering of noisy images with MATLAB's filter2 function; P0308 - Adaptive Wiener filtering for image restoration; P0309 - Image sharpening using five different gradient enhancement methods; P0310 - High-pass filtering and mask processing for images; P0311 - Image smoothing with Butterworth low-pass filters

MATLAB 240 views Tagged
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Techniques covered include: Display of digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform, contrast enhancement through grayscale transformation methods, histogram equalization. Simulation of Gaussian white noise and salt-and-pepper noise effects on images, filtering salt-and-pepper noise using MATLAB's medfilt2 function for 2D median filtering, mean filtering of noisy images using filter2 function, adaptive Wiener filtering for images, image sharpening using five different gradient enhancement methods, high-pass filtering and mask processing techniques, smoothing noisy images with Butterworth low-pass filters, and image sharpening using Butterworth high-pass filters.

MATLAB 211 views Tagged
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