Image-feature-detection-using-Phase-Stretch-Transform

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

phycv

PhyCV: The First Physics-inspired Computer Vision Library

Jalali-Lab-Implementation-of-RAISR

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.

Phase-Stretch-Adaptive-Gradient-field-Extractor

This is a repository for the Phase-Stretch Adaptive Gradient-field Extractor (PAGE) algorithm developed in Jalali-Lab.