Image Reconstruction Using Filtered Back Projection Method
Implementation of image reconstruction through filtered back projection method with configurable filtering and interpolation options for optimal results.
Wavelet Transform as Sparse Basis with Optimized Block Processing
Using wavelet transform as the sparse basis and Orthogonal Matching Pursuit (OMP) algorithm for image reconstruction, this approach addresses computational intensity through improved block-wise processing to significantly reduce imaging time while maintaining reconstruction quality.
MATLAB Implementation of Bilinear Interpolation
MATLAB implementation of bilinear interpolation for motion compensation and image reconstruction processing.
Programming Implementation of JPEG Compression Encoding Algorithm Functions
Functional programming implementation of JPEG compression encoding algorithm featuring: spectral display of image sub-block DCT transformation; image reconstruction using "Z" (Zig-Zag) scanning of 8×8 sub-block DCT coefficients; JPEG compression encoding (including 8×8 sub-block DCT image transformation, quantization/dequantization using JPEG quantization matrices, and 8×8 sub-block DCT image reconstruction); calculation of image root mean square error, display of error images and error histograms with enhanced code implementation details.
Peak Signal-to-Noise Ratio (PSNR) Calculator for Image Comparison
Computes PSNR between two images with implementation details for pixel-value comparison and quality assessment
MATLAB Implementation of Bilinear Interpolation
MATLAB Implementation of Bilinear Interpolation Algorithm
CBCT Image FDK Reconstruction: Pre-projection, Projection Filtering, and Reconstruction Demonstration
A comprehensive demonstration of FDK algorithm implementation for CBCT image reconstruction, covering pre-projection processing, projection filtering techniques, and 3D reconstruction with code-related implementation details.