12位图像数据的压扩变换显示

利用数字通信的压扩变换原理，提出了12位图像数据到8位数据的16折线等比分区映射方法，来实现在8位显示器上显示12位图像数据的信息。推导出图像信号的线性量化和非线性量化信噪比公式，对3种不同量化方法的信噪比进行了比较。结果显示，在小于35 dB处，8位非线性量化信噪比和12位线性量化信噪比一致；而大于35 dB时，量化信噪比平缓稳定上升。实验表明该方法能有效改善图像的弱信号,在8位显示器上清晰地观察到低亮度图像细节。虽然对图像的高亮度部分进行了压缩，但对图像细节和信噪比影响不大。该方法不仅适用于灰度图像，而且适用于彩色图像，实验效果与理论预期完全一致。

Abstract

Based on the digital communication companding transformation principle,a 16-polygonal line geometric partition method which maps 12-bit image data to 8-bit data was proposed to display 12-bit image information on a 8-bit gray scale monitor. The formulas for calculating the linear and nonlinear quantization Signal to Noise Ratio (SNRs) were derived. By comparing SNRs of three different quantization methods, it was indicated that the SNR of 8-bit nonlinear quantization is consistent with that of 12-bit linear quantization at less than 35 dB and that is in the stable increase at large than 35 dB. Experiments show that this method can effectively improve the weak signal of the image, and the details of a low luminance image can be observed clearly on a 8-bit monitor. Although the high luminance part of the image is compressed, it has little affect on the image details and SNRs. The proposed method is applicable to gray images and color images. Experimental results are fully consistent with theoretical expectations.

参考文献

[1] 杨克虎，姬靖，郭建军,等.高动态范围图像和色阶映射算子［J］.自动化学报，2009,35(2):114-122.

YANG K H, JI J,GUO J J, et al.. High dynamic range images and tone mapping operator［J］. Acta Automatica Sinica, 2009,35(2):114-122.(in Chinese)

[2] 严涛，陈钧，王冰. 医用专业显示器应用与选型［J］. 中国数字医学, 2007,2(8):35-40.

YAN T, CHEN J, WANG B. Application and selection of professional medical monitor［J］. China Digital Medicine, 2007,2(8):35-40.(in Chinese)

[3] Eizo datasheet［OL］.available: http://www.eizo.com.cn/eizo/index.asp, 2010.

[4] JACK T, HOLLY E R. Toner reproduction for realistic images［J］. IEEE Computer Graphics & Applications, 1993,13(6):42-48.

[5] DRAGO F,MYSZKOWSKI K,ANNEN T.et al.. Adaptive Logarithmic Mapping For Displaying High Contrast Scenes［J］.Computer Graphics Forum, 2003,22(3):419-426.

[6] QIU G P,JIANG D. An optimal tone reproduction curve operator for the display of high dynamic range images［C］.IEEE International Symposium on Circuits and Systems (ISCAS),2005,6:6276-6279.

[7] JIANG D, QIU G.Fast tone mapping for high dynamic ranges［C］. Pattern Recognition,CPR2004, 17th International Conference on Pattern Recognition, Cambridge, United Kingdom，2004:23-26.

[8] JIANG D, MARCO B, CHRIS D,et al.. Tone-mapping high dynamic range images by novel histogram adjustment［J］. Pattern Recognition,2010,43(5):1847-1862.

[9] ERIK R, MICHAEL S, PETER S, et al.. Photographic tone reproduction for digital images［C］.Proceedings of ACM SIGGRAPH 2002,Computer Graphics Proceedings, Annual Conference Series, ACM Press/ACM SIGGRAPH,2002：1-10.

[10] RAANAN F, DANI L, MICHEAL W. Gradient domain high dynamic range compression［C］. Proceedings of ACM SIGGRAPH 2002 Computer Graphics Proceedings, Annual Conference Series. ACM Press/ACM SIGGRAPH，2002:1-8.

[11] SHEN J B,FANG SH F,ZHAO H L,et al.. Fast approximation of trilateral filter for tone mapping using a signal processing approach［J］. Signal Process, 2009,89(5):901-907.

[12] 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):210-215.

LOI D M, ZHAO Y M. Gradient compression algorithm of high dynamic range image［J］. Computer Engineering,2009,35(20):210-215.(in Chinese)

[13] QI SH, JIA Y A, MICHAEL S B. Globally optimized linear windowed tone mapping［J］. IEEE Transactions on Visualization and Computer Graphics, 2010,16(4):663-675.

[14] 曹庆源. 数字通信原理及应用［M］.武汉：武汉测绘科技大学出版社，1996.

CAI Q Y. Digital Communication Principle and Application［M］.Wuhan:Wuhan technical university of surveying and mapping publishing company,1996.(in Chinese)

[15] ZHOU W, ALAN C B, HAMID R S, et al.. Image quality assessment: From error visibility to structural similarity ［J］. IEEE Transactions on Image Processing, 2004,13(4):600-612.

范赐恩, 吴敏渊, 张立国, 邓德祥, 曹庆源. 12位图像数据的压扩变换显示[J]. 光学精密工程, 2011, 19(6): 1421. FAN Ci-en, WU Min-yuan, ZHANG Li-guo, DENG De-xiang, CAO Qing-yuan. Companding transformation display for 12 bit image data[J]. Optics and Precision Engineering, 2011, 19(6): 1421.

12位图像数据的压扩变换显示

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