Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
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Updated
Feb 20, 2019 - Python
Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
Enhance an image taken under water using color balance and fusion
Tools and techniques (Matlab/C) for low-level image processing
Django application to boost the resolutions of images for easy image visibility and clear images
Fusing data from the ESA Copernicus Programme's Sentinel missions.
Image manipulation with OpenCV and NumPy
Advanced image processing nodes for ComfyUI with DeepInv, BM3D, wavelet denoising, and more
A script that compresses and makes diferent sizes of all images in child directories
A tool to adjust the height of a support bar of a sharpening machine to archive a given sharpening angle. Typical machines are Torweg T-4 and T8 machines but the tool supports custom machines as well
C++ implementation for common image processing filters.
Implementation of computer vision algorithms and image processing using Numpy & OpenCV
Face Mask Detection.
Batch executable for transcoding GLSL shader–upscaled video to disk
Everything sharp for the MN metro area
A collection of frontend development exercises designed to sharpen UI skills
Universal DirectX 11 Frame Generation & Upscaling solution implementation from scratch. Features Optical Flow (Block Matching, Farneback, DIS), Frame Interpolation, and RCAS integration.
Image Processing Assignments
Interactive Colab dashboard for spatial filtering in image processing. Implements smoothing filters (Mean, Median, Mode) and sharpening filters (Sobel, Laplacian, Sobel+Laplacian). Demonstrates noise reduction, edge detection, and detail enhancement with visual comparisons for real-world computer vision tasks.
GUIDED-SUBSUMED UNSHARP MASK FILTER for MRI images
Filtering & Edge-Detection Image Processing Application Using C++ & QT Creator
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