Abstract
In this paper, hybrid models for image quality enhancement are presented comprising both Contrast Limited Adaptive Histogram Equalization (CLAHE) and image interpolation. Adaptive histogram equalization is employed for contrast enhancement, while image interpolation is employed for resolution enhancement. Both the CLAHE and image interpolation are used interchangeably to check the most suitable model for quality enhancement of Low-Resolution (LR) images. The utilized interpolation techniques throughout this paper are polynomial and inverse techniques. Simulation results prove that the application of the CLAHE after interpolation gives the best image quality, especially with regularized inverse interpolation.
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