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💡[Feature]: Advanced Image Processing and Enhancement with OpenCV #1403

@shubhagarwal1

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@shubhagarwal1

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Feature Description

This project explores a comprehensive suite of image processing and enhancement techniques using OpenCV in Python. The implementation covers various filters and methods aimed at improving image clarity, reducing noise, and extracting essential features. With a focus on edge detection, contrast enhancement, and noise reduction, this project provides a practical toolkit for anyone interested in manipulating and refining digital images. Whether it's converting color spaces or detecting edges, the project leverages OpenCV's robust capabilities to enhance image quality and prepare images for further analysis or applications.

Use Case

Features include Gaussian and Median Blur, Bilateral Filtering, Image Sharpening, Histogram Equalization, CLAHE, Edge Detection, and more, making it suitable for a wide range of image processing tasks.

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