Abstract
We present two new methods for simultaneous smoothing and sharpening of color images: the GMS3 (Graph Method for Simultaneous Smoothing and Sharpening) and the NGMS3(Normalized Graph-Method for Simultaneous Smoothing and Sharpening). They are based on analyzing the structure of local graphs computed at every pixel using their respective neighbors. On the one hand, we define a kernel-based filter for smoothing each pixel with the pixels associated to nodes in its same connected component. On the other hand, we modify each pixel by increasing their differences with respect to the pixels in the other connected components of those local graphs. Our approach is shown to be competitive with respect to other state-of-the-art methods that simultaneously manage both processes.•We provide two methods that carry out the process of smoothing and sharpening simultaneously.•The methods are based on the analysis of the structure of a local graph defined from the differences in the RGB space among the pixels in a 3 × 3 window.•The parameters of the method are adjusted using both observers opinion and the well-known reference image quality assessment BRISQUE (Blind/Referenceless images spatial quality Evaluator) score.
Highlights
The acquisition of color images is always carried out under non-optimal conditions
In [7] we have recently proposed the use of local graphs for image smoothing
Given a color image F, we consider each image pixel represented by their three color components in the RGB space F0 = (F0R, F0G, F0B)
Summary
Cristina Pérez-Benito a, Cristina Jordán b, J. We present two new methods for simultaneous smoothing and sharpening of color images: the GMS3 (Graph Method for Simultaneous Smoothing and Sharpening) and the NGMS3(Normalized Graph-Method for Simultaneous Smoothing and Sharpening). They are based on analyzing the structure of local graphs computed at every pixel using their respective neighbors. We provide two methods that carry out the process of smoothing and sharpening simultaneously. The methods are based on the analysis of the structure of a local graph defined from the differences in the RGB space among the pixels in a 3 × 3 window. Graph-based method for simultaneous smoothing and sharpening of color images. The following functions are needed to run the methods fila.m https://pastebin.com/ezr5dgGh clases.m https://pastebin.com/Hjwew3cX
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