Title: Edge fusion algorithm of art photography image based on affine transformation

Authors: Lei Zhao

Addresses: School of Fine Arts and Design, Mudanjiang Normal University, Mudanjiang, 157011, China

Abstract: In order to overcome the poor denoising performance of the traditional edge fusion algorithm for art photography image, this paper proposes an edge fusion algorithm of art photography image based on affine transformation. Firstly, the image mode of art photography is decomposed to implement smoothing and denoising. After the preprocessing, the affine transform is used to extract the edge features of art photography image. The specific steps are extracting edge features, matching edge features, estimating model parameters, grey interpolation and edge transform. The fusion coefficient is transformed into the extremum constraint problem, and the fusion coefficient is estimated. According to the estimation results, the edge fusion of art photography image is realised, and the fusion algorithm is studied. The experimental results show that the proposed algorithm has higher smoothing and denoising performance, and is more suitable for the edge fusion of art photography image under low brightness and contrast.

Keywords: affine transformation; art photographic image; image edge fusion; fusion coefficient; grey interpolation.

DOI: 10.1504/IJART.2020.112646

International Journal of Arts and Technology, 2020 Vol.12 No.4, pp.301 - 316

Received: 18 May 2020
Accepted: 31 Aug 2020
Published online: 25 Jan 2021 *

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