The fractional differential enhancement of image texture features and its parallel processing optimization

Che, Jin; Shi, Yi-Shuai; Xiang, Yang; Ma, Yong

doi:10.1109/cisp.2012.6470034

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…The fractional differential expression defined for the unary signal can be generalized to two-dimensional functions. Thus, the two-dimensional expression in the x-direction and y-direction can be obtained [41].…”

Section: G-l Fractional Differential Modelmentioning

confidence: 99%

Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model

et al. 2022

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Compared with single-band remote sensing images, multispectral images can obtain information on the same target in different bands. By combining the characteristics of each band, we can obtain clearer enhanced images; therefore, we propose a multispectral image enhancement method based on the improved dark channel prior (IDCP) and bilateral fractional differential (BFD) model to make full use of the multiband information. First, the original multispectral image is inverted to meet the prior conditions of dark channel theory. Second, according to the characteristics of multiple bands, the dark channel algorithm is improved. The RGB channels are extended to multiple channels, and the spatial domain fractional differential mask is used to optimize the transmittance estimation to make it more consistent with the dark channel hypothesis. Then, we propose a bilateral fractional differentiation algorithm that enhances the edge details of an image through the fractional differential in the spatial domain and intensity domain. Finally, we implement the inversion operation to obtain the final enhanced image. We apply the proposed IDCP_BFD method to a multispectral dataset and conduct sufficient experiments. The experimental results show the superiority of the proposed method over relative comparison methods.

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Section: G-l Fractional Differential Modelmentioning

confidence: 99%

Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model

et al. 2022

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show abstract

“…The pioneer work of the application of fractional differentiation in the field of image processing is done by Mathieu et al who used the CRONE operator, a fractional differential operator designed by Oustaloup at the end of 20th century, to extract the image edges [6]. Up to now, though fractional differentiation has been used in the area of image segmentation [7,8], image denoising [9,10], image enhancement [11,12], etc., it is still in its infancy [13], and is seldom used in the field of image feature extraction.…”

Section: Introductionmentioning

confidence: 99%