LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

This source code is a MATLAB implementation of a nonlinear unsharp masking method, published in the proceeding of ICEIC 2020, Barcelona, Spain. The algorithm was implemented by means of generalized operators, therein lies the underlying cause of its robustness against out-of-range issue.

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.

Digital Image Processing filters developed by python using ipywidgets.

An efficient FPGA-based design and implementation of image processing algorithm is presented using verilog hardware description language on Xilinx Vivado.

Image Enhancement( Unsharp masking, Histogram Equalisation)

High Boost Filtering(average filter, unsharp masking), Sharpen image using unsharp masking, delete Noise and show any detail of image

Basic algorithms and methods in computer vision

Digital Image Processing

This repo contains all the assignments given in the Digital Image Processing course.

The project suggests a dehazing pipeline using image processing that has proven to be effective in removing haze and enhancing the quality of hazy images.

MATLAB implementation of edge detection using Laplacian operators, unsharp masking, and highboost filtering. This lab explores various filtering techniques to enhance image features.

This repository covers merging foreground and background images and offers functionality for Gaussian smoothing and unsharp masking with adjustable parameters.