Color Image Enhancement Without Gamut Problem - MATLAB Implementation
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Resource Overview
MATLAB implementation of an IEEE paper titled "Color Image Enhancement Without Gamut Problem" by Naik (Indian researcher), featuring gamut-preserving color enhancement algorithms.
Detailed Documentation
This is MATLAB code for an IEEE paper titled "Color Image Enhancement Without Gamut Problem" by Naik (Indian researcher).
The code implements a novel color image enhancement method specifically designed to address gamut issues commonly found in traditional approaches. The algorithm performs color correction and contrast enhancement through sophisticated matrix operations and color space transformations, significantly improving visual quality while maintaining color integrity. The method has been validated on multiple test images and compared against existing state-of-the-art techniques.
The implementation includes detailed algorithmic steps and mathematical foundations. The code runs in MATLAB environment and provides essential input parameters for flexible customization. Key functions handle color space conversion, histogram processing, and gamut boundary detection. Users can modify parameters such as enhancement factors, color balance coefficients, and threshold values to conduct experiments according to specific requirements.
This paper makes valuable contributions to the field of color image enhancement by introducing a new approach to solve gamut-related challenges in image processing. The methodology provides fresh insights into maintaining color fidelity while achieving significant visual improvements.
We hope this implementation proves beneficial for your research and practical applications in image processing!
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