L1 Norm Least Squares Algorithm
MATLAB implementation of L1 Norm Least Squares algorithm for image reconstruction research, featuring high customizability and modifiable code structure.
Iterative Back-Projection High-Resolution Image Reconstruction Algorithm
MATLAB implementation of an iterative back-projection algorithm for high-resolution image reconstruction with code structure and key function explanations
SART Algorithm for Image Reconstruction with Implementation Insights
Overview of the SART Algorithm for Image Reconstruction including iterative methodology and code implementation considerations
Sparse Decomposition for Image Reconstruction
A sparse decomposition image reconstruction program that partitions images into multiple patches, reconstructs each sub-patch with edge processing, and then merges them into a complete image. This approach utilizes patch-based sparse coding algorithms for enhanced reconstruction quality.
Development of Electromagnetic Tomography Models
Implementation of electromagnetic tomography model construction to provide raw data for image reconstruction, involving sensor array configuration, forward problem solvers, and data acquisition interfaces
Source Encoding for Image Compression at Transmitter and Source Decoding for Image Reconstruction at Receiver
This MATLAB implementation demonstrates image compression via source encoding at the transmitter and image reconstruction through source decoding at the receiver, utilizing JPEG standard based on DCT transform. The project includes noise addition to test images followed by denoising, compression, and reconstruction to analyze compression performance. It explores downsampling and interpolation-based compression algorithms, with potential extensions from 8-bit/pixel grayscale to 24-bit/pixel color images or implementation of lossless compression techniques.
8x8 Block-Based DCT Image Transformation with JPEG Quantization
Implementation of 8x8 block-based Discrete Cosine Transform (DCT) image processing, including JPEG quantization matrix-based quantization/dequantization and block-based image reconstruction; using a 512×512 8-bit/pixel test image and calculating PSNR for quality assessment
Image Reconstruction of Spiral Trajectory Acquired MRI Raw Data Using Gridding Algorithm
Implementation of gridding algorithm for image reconstruction from spiral trajectory acquired MRI raw data with code-level optimization details.
Classical K-SVD Dictionary Learning Algorithm
The classical K-SVD dictionary learning algorithm, widely applicable for signal denoising, image reconstruction, and other sparse representation tasks, employs an iterative optimization approach combining sparse coding and dictionary updating stages
Image Reconstruction Based on POCS (Projection Onto Convex Sets)
Implementing POCS-based image reconstruction in MATLAB environment with algorithm optimization and parameter tuning