用于视觉传达效果优化的退化图像复原仿真
Degradation Image Restoration Simulation for Visual Communication Optimization
上官小雨 1汤雅莉2
作者信息
- 1. 西北大学现代学院,陕西 西安 710111
- 2. 西安建筑科技大学,陕西 西安 710055
- 折叠
摘要
大气湍流与外界噪声的干扰,会造成图像出现退化现象,影响图像质量.为此提出考虑视觉传达效果的多帧退化图像复原算法.图像复原前构建出图像退化模型,明确图像退化规律,利用小波变换对多帧退化图像实施去噪处理.计算因大气湍流导致的相位扰动的波前图像,根据相位偏差,生成Zernike波前图像重建模型,多次迭代后完成PDF的波前重建,利用代价函数生成多帧退化图像复原的迭代公式,依据判定条件实现多帧退化图像复原.实验结果表明,所提算法的图像复原效果较好,复原效率高,具有优异的图像去噪效果.
Abstract
Generally,atmospheric turbulence and external noise interference can cause image degradation,affecting the quality of the image.Therefore,this paper proposed a multi-frame degraded image restoration algorithm considering the visual communication effect.Before the image restoration,an image degradation model was constructed to clarify the degradation rules.Then,wavelet transform was used to denoise multiple-frame degraded images.Mean-while,wavefront images caused by atmospheric turbulence were calculated.According to the phase deviation,a Zernike wavefront image reconstruction model was generated.After multiple iterations,the wavefront reconstruction of PDF was completed.Moreover,an iterative formula for multi-frame degraded image restoration was generated based on a cost function.Finally,based on the decision conditions,the multi-frame degraded image restoration was achieved.Experimental results prove that the proposed algorithm has better restoration effects and high restoration ef-ficiency,as well as excellent denoising effects.
关键词
视觉传达效果/多帧退化图像/图像复原/图像去噪/图像退化模型Key words
Visual communication effect/Multi-frame degraded image/Image restoration/Image denoising/Image degradation model引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据