A Study on Image Noise and Various Image Denoising Techniques

Hussein, Taha Darwassh Hanawy; Jihad, Kamal H.; Omar, Hoger K.

doi:10.17605/osf.io/87xgj

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Classification Of De-noising Techniques1

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2024

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“…The main objective is to lower noise without sacrificing important aspects of the image, like corners, edges, and other sharp structures. The next subchapter explores a variety of de-noising methods, each with a special use in image processing [19].…”

Section: Classification Of De-noising Techniquesmentioning

confidence: 99%

Hybrid Smoothing and Sharpening Filters Using the Spatial Domain: Literature Review

M. Weli,

M. Abdullah

2024

IRJIET

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This study explores the field of image processing, emphasizing the difficulty presented by exterior artefacts on film, such as scratches, bruises, and cracks. Due to the limitations of mathematical analysis, unlike homogeneous noise, the shape and location of these faults must be determined manually during picture processing. The tight balance between retaining minute details and removing undesirable effects like noise makes the search for a universal filtering algorithm ongoing. The proposed work presents the enhancing through removing noises by applying proposed smoothing technique in order to eliminate these noises, this step leads to the blurring case, so for removing this blurring case, the output of this step is considered as an input to the next step through applying a proposed sharpening algorithm in the field of spatial domain, the final step is grouping all the processed frames for retrieving the processed video segment, in order to measure the performance of the proposed work, we compare the proposed work with others through some determined metrics.

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Section: Classification Of De-noising Techniquesmentioning

confidence: 99%