An Impulse Noise Removing Method in Radiography

Jiming, 马继明 Ma; Guzhou, 宋顾周 Song; Qunshu, 王群书 Wang; Jianqi, 张建奇 Zhang

doi:10.3788/gzxb20103911.2107

Cited by 2 publications

(2 citation statements)

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“…The premise of background fixation limits the application and development of temporal denoising methods, making spatial structure denoising methods that find the difference between noisy pixels and non-noisy pixels in an image attract more interest. According to the analysis of the geometric and color characteristics of speckle noise, local information association [5], non-local means filtering [20], Bitonic filtering [22], BM3D filtering [34], Anisotropic filtering [19], Total Variation [6], Median filtering and its variants [15,17,25] are applied for removing speckle noise. The kind of methods had a good performance on small-scale speckle noise, but they cannot work well on large-scale ones.…”

Section: Speckle Noise Removalmentioning

confidence: 99%

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A gamma radiation scene image clarification method based on spatiotemporal combination

Deng

Zhao

Zhang

et al. 2023

Meas. Sci. Technol.

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For the problems of complex noise and color cast in the images captured by complementary metal oxide semiconductor(CMOS) image sensors in the gamma radiation environment, this paper proposed a joint temporal correlation denoising and color cast correction approach for the gamma radiation scene image clarification. Concretely, we first adaptively stretch the difference between noise and background to improve the salience of weak noise, making noise detection results more accurate. Secondly, the temporal transient characteristics of gamma radiation noise are utilized for noise detection, and these noisy pixels are repaired by exploiting the temporal correlation characteristics of background pixels. Lastly, the Bayer-Guided auto white balance(AWB) method is proposed to solve the problem of dysregulated color in the gamma radiation scene image, and the color level remapping approach is applied to eliminate the problem of insufficient dynamic range. Extensive experiments are carried out on the images captured from the Co60 gamma radiation scene. Compared with the source images, our method improves the peak signal to noise ratio(PSNR) by 6.3(dB) and structural similarity(SSIM) by 0.34. Experimental results demonstrate that the proposed method enjoys state-of-the-art performance in improving the clarity of gamma radiation scene images.

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Section: Speckle Noise Removalmentioning

confidence: 99%

“…In RGB color space, there is one channel of noise image which is much larger than the normal image at least. In [15,17,25], based on the color characteristic, the median filter and its variants are used for gamma radiation scene image clarification.…”

Section: Introductionmentioning

confidence: 99%