Gray Level Image Enhancement Using Polygonal Functions
Vasile Patrascu

TL;DR
This paper introduces a gray level image enhancement technique using polygonal interpolation functions that adapt based on image statistics, aiming to improve image quality through point transforms.
Contribution
The paper proposes a novel gray level enhancement method utilizing polygonal functions with adaptive interpolation nodes based on image statistics.
Findings
Effective enhancement of gray level images demonstrated
Interpolation functions adapt to image statistics
Improved image contrast and detail preservation
Abstract
This paper presents a method for enhancing the gray level images. This method takes part from the category of point transforms and it is based on interpolation functions. The latter have a graphic represented by polygonal lines. The interpolation nodes of these functions are calculated taking into account the statistics of gray levels belonging to the image.
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Taxonomy
TopicsMedical Image Segmentation Techniques · Advanced Image Fusion Techniques · Image and Signal Denoising Methods
