Geometric distortion and mixed pixel elimination via TDYWT image enhancement for precise spatial measurement to avoid land survey error modeling

Prabu, M.; Shanker, N. R.; Kavida, A. Celine; Ganesh, E. N.

doi:10.1007/s00500-020-04814-x

Soft Comput

2020

DOI: 10.1007/s00500-020-04814-x

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Geometric distortion and mixed pixel elimination via TDYWT image enhancement for precise spatial measurement to avoid land survey error modeling

M. Prabu¹,

N. R. Shanker²,

A. Celine Kavida³

et al.

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2022

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Cited by 2 publications

References 30 publications

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Edge detail enhancement algorithm for high-dynamic range images

Zhao

Zhu

2022

Journal of Intelligent Systems

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Existing image enhancement methods have problems of a slow data transmission and poor conversion effect, resulting in a low image-recognition rate and recognition efficiency. To solve these problems and improve the recognition accuracy and recognition efficiency of image features, this study proposes an edge detail enhancement algorithm for a high-dynamic range image. The original image is transformed by Fourier transform, and the low-frequency and high-frequency images are obtained by the frequency-domain Gaussian filtering and inverse Fourier transform. The low-frequency image is processed by the contrast limited adaptive histogram equalization, and the high-frequency image is obtained by the nonsharpening masking and gray transformation. The low-frequency enhanced and the high-frequency enhanced images are weighted and fused to enhance the edge details of the image. Finally, the experimental results show that the proposed high-dynamic range image edge detail enhancement algorithm maintains the image recognition rate of more than 80% during the practical application, and the recognition time is within 1,200 min, which enhances the image effect, improves the recognition accuracy and recognition efficiency of image characteristics, and fully meets the research requirements.

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Edge detail enhancement algorithm for high-dynamic range images

Zhao

Zhu

2022

Journal of Intelligent Systems

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Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies

Kumar

Patil²

2022

SSRN Journal

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Geometric distortion and mixed pixel elimination via TDYWT image enhancement for precise spatial measurement to avoid land survey error modeling

Cited by 2 publications

References 30 publications

Edge detail enhancement algorithm for high-dynamic range images

Edge detail enhancement algorithm for high-dynamic range images

Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies

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