High noise astronomical image denoising via 2G-bandelet denoising compressed sensing

Zhang, Jie; Zhang, Huanlong; Shi, Xiaoping; Geng, Shengtao

doi:10.1016/j.ijleo.2019.04.029

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2019

2023

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“…Therefore, so much work has been done for image denoising. Zhang, et al [14] investigated how a high-quality image can be reconstructed from a high-resolution and high-noise astronomical image. For this purpose 2G-bandelet denoising compressed sensing is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Comparison Study for Image Denoising

Aslan

Durdu

Sabancı

2019

European Journal of Technic

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Image denoising is the detection and removal of outliers in a image. A measured analog signal is affected by both the device from which the measurement is performed and the noise from the environment. Various types of noise are available. With the developed noise reduction methods, it is tried to eliminate the existing noise. In this study, Bandelet Transform and Bilateral Filter denoising methods are compared. Both methods have been used to eliminate noise of different types and different rates added to the benchmark and retina images. Bandelet transform is performed for both hard and soft threshold. Peak Signal-to-Noise Ratio, Mean Squared Error, Mean Structural Similarity and Feature Similarity Index are used as a comparison method.

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Section: Introductionmentioning

confidence: 99%