Weighted Retinex algorithm based on histogram for dental CT image enhancement

YangDai, Tian-yi; Zhang, Li

doi:10.1109/nssmic.2014.7430821

Cited by 2 publications

(1 citation statement)

References 8 publications

(10 reference statements)

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“…However, enhancement technique efficiency is justified based on the visual outcome and less on the quantified outcome. The usage of single-scale retinex based image enhancement is also found in the study of Dai and Zhang [23]. The authors have improvised the function of a single retinex mechanism, and based on the histogram analysis, the dental image was enhanced.…”

Section: Introductionmentioning

confidence: 87%

Evaluating spatial and frequency domain enhancement techniques on dental images to assist dental implant therapy

Shashikala¹,

Thangadurai

2021

IJECE

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<span lang="EN-US">Dental imaging provides the patient's anatomical details for the dental implant based on the maxillofacial structure and the two-dimensional geometric projection, helping clinical experts decide whether the implant surgery is suitable for a particular patient. Dental images often suffer from problems associated with random noise and low contrast factors, which need effective preprocessing operations. However, each enhancement technique comes with some advantages and limitations. Therefore, choosing a suitable image enhancement method always a difficult task. In this paper, a universal framework is proposed that integrates the functionality of various enhancement mechanisms so that dentists can select a suitable method of their own choice to improve the quality of dental image for the implant procedure. The proposed framework evaluates the effectiveness of both frequency domain enhancement and spatial domain enhancement techniques on dental images. The selection of the best enhancement method further depends on the output image perceptibility responses, peak signal-to-noise ratio (PSNR), and sharpness. The proposed framework offers a flexible and scalable approach to the dental expert to perform enhancement of a dental image according to visual image features and different enhancement requirements.</span>

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Section: Introductionmentioning

confidence: 87%

Evaluating spatial and frequency domain enhancement techniques on dental images to assist dental implant therapy

Shashikala¹,

Thangadurai

2021

IJECE

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γ Radiation Image Enhancement Method Based on Non-Linear Mapping

et al. 2022

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For the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the γ radiation environment, this paper proposed a joint contrast improvement and color cast correction approach for the γ radiation image enhancement, which improved the image effects from enhancing detail expression and color expression. For the problem of overall darkness of γ radiation image, we firstly utilized the logarithmic mapping to improve the image brightness. Secondly, for the insufficient contrast of image details, a contrast enhancement method with an adaptive Gamma coefficient is proposed, which adaptively adjusts the image brightness at the pixel level, so that the image detail expression is more in line with the human visual characteristics (HVC). Lastly, the color level remapping method is exploited for color cast correction. Extensive experiments are conducted on the γ radiation images collected in the Co60 environment. With the help of the proposed method, we can achieve the best results in quantitative and visual comparison. Experimental results demonstrate that the proposed method enjoys state-of-the-art performance in γ radiation image enhancement.INDEX TERMS γ radiation image, image enhancement, non-linear mapping, contrast improvement, color cast correction.

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Weighted Retinex algorithm based on histogram for dental CT image enhancement

Cited by 2 publications

References 8 publications

Evaluating spatial and frequency domain enhancement techniques on dental images to assist dental implant therapy

Evaluating spatial and frequency domain enhancement techniques on dental images to assist dental implant therapy

γ Radiation Image Enhancement Method Based on Non-Linear Mapping

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