Application of Compressed Sensing OMP Algorithm in Image Compression and Recovery
Implementation of Orthogonal Matching Pursuit (OMP) algorithm for compressed sensing in image compression and reconstruction with code-level insights.
Simulation of Image Compression and Reconstruction Algorithm Using Compressive Sensing Principles by Rice University
Simulation of Rice University's Compressive Sensing-Based Image Compression and Reconstruction Algorithm Implementation
Display of Digital Image Matrix Data and Its Fourier Transform
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.
MP Sparse Decomposition for Blind Source Separation
MP Sparse Decomposition applied to blind signal separation, image compression, and noise reduction, with potential implementation using matching pursuit algorithms and dictionary learning techniques.
MATLAB Algorithm for Image Compression: JPEG Implementation
MATLAB implementation of JPEG image compression algorithm with detailed code explanations. Useful for image processing enthusiasts and developers working on storage optimization and transmission efficiency.
Image Compression Using Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT)
Image compression implementation using DWT and DCT algorithms with code-level insights into frequency domain transformation techniques
MATLAB Code Implementation for Fractals
Fractal algorithms including fractal-based image compression and reconstruction techniques with code implementation
Single Wavelet Transform for Image Compression
Application of single wavelet transform in image compression and MATLAB code implementation for image fusion
MATLAB Implementation of Digital Image Processing: K-SVD Dictionary Learning with Sparse and Redundant Representations
Digital image processing using K-SVD dictionary learning method, sparse and redundant representation theory for signals, featuring MATLAB implementation examples for image compression and image denoising applications with algorithm explanations.
Image Compression Using Huffman Coding in MATLAB
Implementation of Huffman coding-based image compression in MATLAB, focusing on digital image processing techniques utilizing Huffman coding principles with code-specific implementation insights.