计算机科学 ›› 2009, Vol. 36 ›› Issue (11): 254-257.

• 图形图像及体系结构 • 上一篇    下一篇

使用静态小波变换增强与降噪真彩图像

熊杰,冯晓强,耿国华,周明全   

  1. (西北大学可视化技术研究所 西安710127);(西北大学光子学与光子技术研究所 西安710127);(北京师范大学信息科学与技术学院 北京100875)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(60573179)资助。

Real Color Image Enhanced and Denoised by Stationary Wavelet Transform

XIONG Jie,FENG Xiao-qiang,GENG Guo-hua,ZHOU Ming-quan   

  • Online:2018-11-16 Published:2018-11-16

摘要: 由于几乎所有真彩图像都不同程度含有噪声,并且含有阴影和明亮光源的图像的动态范围超过了多数电子设备和人眼的感受区域,这就要求真彩图像被增强的同时还能够对噪声进行抑制。因此,在分析了噪声在HSV色彩空间分布的基础上,根据静态小波变换解释的入射一反射模型,提出了一种能够同时增强与降噪真彩图像的方法。实验表明,本方法在明显增强真彩图像的同时,还可以有效抑制图像中的噪声。

关键词: 真彩图像,HSV空间,静态小波变换,入射-反射模型,增强,噪声

Abstract: Because all real color images contain noise in different degree and the high dynamic range of some real color images with dark shadows and bright light sources exceeds the range of most electronic capturing devices and human eyes scnscmg,real color images should be enhance and denoised at the same time. Based on the analysis of noise in H,S,V channel and a new illumination-reflectance model described by stationary wavclct transform(SWT),a new method which can enhance and denoise real color images simultaneous was put forward. Experiments show that the color images are enhanced obviously and the noise is efficiently restrained at one time.

Key words: Real color image, HSV space, Stationary wavelet transform,Illumination-reflectance model, Enhancement Noise

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