Retinex Algorithm and Mathematical Methods Based Texture Detail Enhancement Method for Panoramic Images

Author:

Kang Yingxi1ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan 411104, China

Abstract

A panoramic image texture detail enhancement method based on the Retinex algorithm is proposed to work on the nature of panoramic images. Firstly, the panoramic image is collected, then the panoramic image is preprocessed through brightness enhancement, the brightness of the preprocessed panoramic image is normalized, and the panoramic image is optimized and increased by the improved Retinex algorithm. Finally, the simulation test of the panoramic image was carried out. The results show that the improved Retinex algorithm works on the sign to-commotion proportion of the panoramic image. Furthermore, the time required to enhance the panoramic texture detail is short, which can meet the practical requirements of panoramic image subsequent processing.

Funder

Hunan Province Colleges and Universities

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference28 articles.

1. Generation of a polarized optical field from a given scalar field for wide-viewing-angle holographic displays

2. Two-phase flow texture feature extraction of digital image in immersion environment;Z. D. Liu;Computer Simulation,2021

3. Multi-camera panoramic imaging system based on adaptive brightness uniformization for the truck;B. Cheng;Journal of Physics Conference Series,2020

4. Fractal image texture detail enhancement based on Newton iteration algorithm;H. Yu;Computer Simulation,2021

5. Selection of the optimum features to identify tooth decay in the panoramic images based on image texture analysis

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