Sparse Reconstruction for Omnidirectional Image Based on Total Variation

LOU Jing-tao; LI Yong-le; TAN Shu-ren; WANG Wei; ZHANG Mao-jun

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Sparse Reconstruction for Omnidirectional Image Based on Total Variation

更新时间：2025-07-16

- Sparse Reconstruction for Omnidirectional Image Based on Total Variation
- Acta Electronica Sinica Vol. 42, Issue 2, Pages: 243-249(2014)
- 作者机构：
  
  国防科技大学信息系统与管理学院,湖南,长沙,410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61275016, No.61271438)
- DOI：
  CLC： TP391
- Published：2014
- 稿件说明：
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LOU Jing-tao, LI Yong-le, TAN Shu-ren, et al. Sparse Reconstruction for Omnidirectional Image Based on Total Variation[J]. Acta Electronica Sinica, 2014, 42(2): 243-249.
DOI：

LOU Jing-tao, LI Yong-le, TAN Shu-ren, et al. Sparse Reconstruction for Omnidirectional Image Based on Total Variation[J]. Acta Electronica Sinica, 2014, 42(2): 243-249. DOI：

摘要

折反射全向成像由于曲面镜的反射作用，导致全向图像存在严重变形，传统的梯度计算方法在全向图像中不能很好地符合折反射成像的特点.为了从压缩采样数据快速有效地重构全向图像，提出了一种结合全向图像特征的全变分模型——全向全变分，并在基于TV范数进行全向图像重构时，采用全向全变分作为目标函数，进行模型的求解.实验结果验证了本文算法的有效性和可行性，其重构结果的主客观效果明显优于传统TV模型.

Abstract

Because of the distortions produced by the reflection of a mirror

catadioptric omnidirectional images cannot be processed similarly to classical perspective images.In this paper

we propose to define a new model named omnidirectional total variation (Omni-TV)

which reflects the omnidirectional image structure features.In order to reconstruct the images from compressive samples

the Omni-TV is used as the subject function during the image reconstruction.The simulation results show that the omnidirectional images could be reconstructed effectively and accurately.Comparing with classical TV minimization model

the images

which are recovered based on Omni-TV model

can provide higher quality both in subjective evaluation and objective evaluation.

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