Abstract
An enhancement of edge preservation in OAMNHA denoising using texture boundaries
Highlights
Image denoising known as noise reduction is the process of eradicating the noise from an image during edge preservation process
The image is given to the NF edge detector to detect the edge regions and homogenous textures as follows: The structure of the proposed Neuro Fuzzy edge detector shown in Figure 1(a) has four NF networks which are functioning as sub-detectors in the four directions, namely vertical, horizontal, right diagonal and left diagonal, respectively
The comparison is obtainable in terms of Peak Signal-To-Noise Ratio (PSNR), Mean Absolute Error (MAE) and Structural Similarity Index (SSIM)
Summary
Image denoising known as noise reduction is the process of eradicating the noise from an image during edge preservation process. Edge preserving process is one of the image processing techniques that remove noise or textures while preserving sharp edges. In these days, digital images play the most significant role in different applications such as magnetic satellite box, computer tomography, resonance imaging, and ecological systems. Image denoising process is needed as primary process in the image processing to compensate the data corruption. Image denoising technique has lot of challenges since the artifacts are occurred during noise removal which blurs the images
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