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计算机工程 ›› 2009, Vol. 35 ›› Issue (20): 210-211. doi: 10.3969/j.issn.1000-3428.2009.20.075

• 图形图像处理 • 上一篇    下一篇

高动态范围图像梯度压缩算法

刘冬梅,赵宇明   

  1. (上海交通大学电子信息与电气工程学院自动化系,上海 200240)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-10-20 发布日期:2009-10-20

Gradient Compression Algorithm of High Dynamic Range Image

LIU Dong-mei, ZHAO Yu-ming   

  1. (Dept. of Automization, School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-10-20 Published:2009-10-20

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

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.

Key words: High Dynamic Range(HDR), gradient compression, Fast Fourier Transform(FFT), Poisson equation

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