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高动态范围图像梯度压缩算法
引用本文:刘冬梅,赵宇明.高动态范围图像梯度压缩算法[J].计算机工程,2009,35(20):210-211.
作者姓名:刘冬梅  赵宇明
作者单位:上海交通大学电子信息与电气工程学院自动化系,上海,200240
摘    要:高动态范围(HDR)图像是一种可以表示实际场景中亮度大范围变化的图像类型,图像中的像素值正比于场景中对应点的实际亮度值,因此,可以更好地表示场景中亮区和暗区的光学特性。为了在常规显示硬件上显示HDR图像,采用梯度压缩算法,在亮度图像梯度域上对大梯度进行衰减,压缩图像亮度的动态范围。实验结果表明,该算法能对HDR图像进行较高视觉质量的显示。

关 键 词:高动态范围  梯度压缩  快速傅里叶变换  泊松方程
修稿时间: 

Gradient Compression Algorithm of High Dynamic Range Image
LIU Dong-mei,ZHAO Yu-ming.Gradient Compression Algorithm of High Dynamic Range Image[J].Computer Engineering,2009,35(20):210-211.
Authors:LIU Dong-mei  ZHAO Yu-ming
Affiliation:(Dept. of Automization, School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240)
Abstract:High dynamic range(HDR) image is designed to depict the full visual range of the real-world scenes. Each luminance value is direct ratio to the corresponding point in the real world scenes, so the HDR image can represent the optical characters between bright regions and dark regions better. This paper presents an algorithm of compressing HDR images to fit conventional display devices that are only capable of outputting a low dynamic range. Experimental results show the algorithm of manipulating the gradient field of luminance image by attenuating the large gradients’ magnitudes can preserve fine details.
Keywords:High Dynamic Range(HDR)  gradient compression  Fast Fourier Transform(FFT)  Poisson equation
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