[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure

RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts

This module attempts to enhance contrast of a given image by equalizing its two dimensional histogram.

A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.

A contrast enhancement approach involving non linear mapping of Laplacian pyramid.

IEEE ISBI 2022 paper: CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound.

Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"

Geometric Ultrasound Localization Microscopy (MICCAI 23): Ellipse Intersections from Time-Difference-of-Arrival signals

(Contrast Limited) (Adaptive) Histogram Equalization Python library, written in Rust

This module attempts to enhance contrast of a given image or video by employing a method called weighted thresholded histogram equalization (WTHE).

This module attempts to enhance contrast of a given image by employing a method called HBLPCE.

Official repository of "Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks"

Some self-designed open-CV algorithms designed during my reseach.

A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.

auto-correct contrast and brightness of photographed document

Python scripts for maximising signal local contrast.

Adjust brightness of an image automatically

Images and video restoration in multiple-stages using MIRNETv2 model, additionally object detection on images and video through FASTER-RCNN . And complete web application in flask including responsive front-end