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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.
Benefits
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Priority
High
Record
I have read the Contributing Guidelines
I'm a GSSOC'24 contributor
I want to work on this issue
The text was updated successfully, but these errors were encountered:
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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.
Benefits
No response
Add ScreenShots
No response
Priority
High
Record
The text was updated successfully, but these errors were encountered: