[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
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Apr 18, 2024 - Python
[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
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.
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
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.
This module attempts to enhance contrast of a given image by employing a method called HBLPCE.
This module attempts to enhance contrast of a given image or video by employing a method called weighted thresholded histogram equalization (WTHE).
Geometric Ultrasound Localization Microscopy (MICCAI 23): Ellipse Intersections from Time-Difference-of-Arrival signals
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.
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
Adjust brightness of an image automatically
This code is used to change the brightness and contrast of images or video frames using OpenCV library.
To read the given Sergei Prokudin Gorsky image file,perform simple mathematical computations on images and reconstruct using image pyramids and perform image adjustments such as improving contrast,brightness etc. and produce a clear image output
Desktop Application for Image Brightness Adjustment, Contrast Adjustment, Sharpening, Compressing using Huffman encoding
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