Apply openCV functions to fix bad images and enhance the quality with GUI
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Updated
Dec 26, 2022 - Python
Apply openCV functions to fix bad images and enhance the quality with GUI
Applying digital image processing techniques to enhance images.
This lab explores various image filtering techniques using OpenCV in Python. Tasks include applying box blur and Gaussian blur with different kernel sizes, followed by implementing geometric mean, harmonic mean, median, and max/min filters using 3x3 kernels.
This is 3*3 mean Filter, min filter, max filter, weighted average filter and 5*5 mean filter, min filter and max filter using JavaScript Program of image processing problem solving.
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