De-noising the image using B-spline interpolation

Gajalakshmi, N; Karunanithi, S.

doi:10.1063/5.0114468

AIP Conference Proceedings

2023

DOI: 10.1063/5.0114468

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De-noising the image using B-spline interpolation

N Gajalakshmi¹,

S. Karunanithi²

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2024

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Cited by 1 publication

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B‐splines image approximation using resampled chordal parameterization

Świta,

Suszyński

2024

IET Image Processing

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Image processing often requires filtering, which can be effectively performed by using B‐spline surface approximation. This article presents a fast method of approximating data in rectangular (image) form using such surfaces. The method considers dynamic changes of data by representing rows and columns in chordal parameterized form. To improve performance, after parametrization, lines are uniformly resampled using linear interpolation. It allows using the same basis functions with uniform parameterization for approximation of all processed lines. After approximation, reconstruction of original parameterization is required, but its computational complexity is also linear.

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B‐splines image approximation using resampled chordal parameterization

Świta,

Suszyński

2024

IET Image Processing

View full text Add to dashboard Cite

show abstract

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De-noising the image using B-spline interpolation

Cited by 1 publication

References 17 publications

B‐splines image approximation using resampled chordal parameterization

B‐splines image approximation using resampled chordal parameterization

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