Detail-preserving hierarchical tone-mapping algorithm for high dynamic range images

doi:10.11772/j.issn.1001-9081.2014.04.1187

Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (4): 1187-1191.DOI: 10.11772/j.issn.1001-9081.2014.04.1187

Previous Articles Next Articles

Detail-preserving hierarchical tone-mapping algorithm for high dynamic range images

WEI Chunao,XIE Dehong,WANG Qi,LI Rui

Jiangsu Provincial Key Lab of Pulp and Paper Science and Technology (Nanjing Forestry University), Nanjing Jiangsu 210037, China

Received:2013-10-15 Revised:2013-12-21 Online:2014-04-29 Published:2014-04-01
Contact: XIE Dehong

基于细节再现的高动态范围图像分层映射算法

位春傲,谢德红,王琪,李蕊

江苏省制浆造纸科学与技术重点实验室(南京林业大学),南京 210037

通讯作者: 谢德红
作者简介:位春傲(1989-),女,山东莱阳人,硕士研究生,主要研究方向:图像处理;
谢德红(1979-),女,江苏南京人,博士,主要研究方向:高动态范围图像处理、彩色视觉模型、多光谱色域映射;
王琪(1971-),女,河南上蔡人,副教授,博士,主要研究方向:数字化印前、色彩控制。
基金资助:
国家级大学生创新创业训练计划项目;江苏省高等学校大学生实践创新训练计划省级重点项目;江苏省制浆造纸科学与技术重点实验室开放基金项目

Abstract

Abstract:

Due to problems of over-compression by a non-adaptive mapping function, and changes of perceived contrasts for luminance shift during mapping, a hierarchical tone-mapping algorithm for detail-preserving was proposed. In this algorithm, the luminance-response curve adapting to each local luminance in High Dynamic Range (HDR) images, as a mapping function, was used to map luminances of the base layer. Then, compensation coefficients of the detail layer, for stretching or compressing details, were computed according to values of luminance shift based on Stevens' effect. The experimental results show that the proposed algorithm has good performance on preserving perceived details.

摘要：

针对当前映射算法中亮度的映射函数非适性而引起对比度过度压缩的问题，以及映射时亮度变化改变图像细节可见性的问题，提出了一种基于细节再现的高动态范围(HDR)图像分层映射算法。该算法采用视觉响应曲线作为基础层的映射函数，根据图像局部适应性亮度动态地映射亮度；同时，在Stevens效应的思想基础上依据映射前后亮度变化获得补偿系数，拉伸或压缩细节层。测试结果表明：该映射算法所得图像能正确再现更多的可见细节。

CLC Number:

TP391

WEI Chunao XIE Dehong WANG Qi LI Rui. Detail-preserving hierarchical tone-mapping algorithm for high dynamic range images[J]. Journal of Computer Applications, 2014, 34(4): 1187-1191.

位春傲谢德红王琪李蕊. 基于细节再现的高动态范围图像分层映射算法[J]. 计算机应用, 2014, 34(4): 1187-1191.

References

［1］TUMBLIN J, RUSHMEIER H. Tone reproduction for realistic images ［J］. IEEE Computer Graphics & Applications, 1993, 13(6): 42-48.
［2］LARSON G W, RUSHMEIER H, PIATKO C. A visibility matching tone reproduction operator for high dynamic range scenes ［J］. IEEE Transaction on Visualization and Computer Graphics, 1997, 3(4): 291-306.
［3］REINHARD E, DEVLIN K. Dynamic range reduction inspired by photoreceptor physiology ［J］. IEEE Transaction on Visualization and Computer Graphics, 2005, 11(1): 13-24.
［4］CHIU K, HERF M, SHIRLEY P, et al.Spatially nonuniform scaling functions for high contrast images ［C］// Proceedings of Graphics Interface 93. Toronto: Canadian Human-Computer Communications Society, 1993: 245-253.
［5］MEYLAN L, SUSSTRUNK S. High dynamic range image rendering using a retinex-based adaptive filter ［J］. IEEE Transactions on Image Processing, 2006, 15(9): 2820-2830.
［6］REINHARD E, STARK M, SHIRLEY P, et al.Photographic tone reproduction for digital images ［J］. ACM Transactions on Graphics, 2002, 21(3): 267-276.
［7］TUMBLIN J E, HODGINS J K, GUENTER B K. Two methods for display of high contrast image ［J］. ACM Transactions on Graphics, 1999, 18(1): 56-94.
［8］TUMBLIN J, TURK G. LCIS: a boundary hierarchy for detail-preserving contrast reduction ［C］// Proceedings of the 1999 International Conference on Computer Graphics and Interactive Techniques. New York: ACM, 1999: 83-90.
［9］DURAND F, DORSEY J. Fast bilateral filtering for the display of high-dynamic-range images ［J］. ACM Transactions on Graphics, 2002, 21(3): 257-266.
［10］CHOUDHURY A, MEDIONI G. Hierarchy of nonlocal means for preferred automatic sharpness enhancement and tone mapping ［J］. Journal of the Optical Society of America A: Optics Image Science and Vision, 2013, 30(3):353-366.
［11］STVENS J C, STEVENS S S. Brightness function: effects of adaptation ［J］. Journal of the Optical Society of America, 1963, 53(3): 375-384.
［12］KUANG J T, JOHNSON G M, FAIRCHILD M D. iCAM06: a refined image appearance model for HDR image rendering ［J］. Journal of Visual Communication and Image Representation, 2007, 18(5): 406-414.
［13］JOHNSON G M, FAIRCHILD M D. Rendering HDR images ［C］// CIC 2003: Proceedings of the Eleventh Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications. Scottsdale, Arizona: The Society for Imaging Science and Technology, 2003: 36-41.
［14］AYDIN T O, MANTIUK R, MYSZKOWSKI K, et al.Dynamic range independent image quality assessment ［J］. ACM Transactions on Graphics, 2008, 27(3):1-10.
［15］HEBER S, STOYE J. Finding all common intervals of k permutations ［C］// CPM '01: Proceedings of the 12th Annual Symposium on Combinatorial Pattern Matching, LNCS 2089. Berlin: Springer-Verlag, 2001: 207-218.
［16］XIAO F, DICARLO J, WANDELL B. HDR data ［EB/OL］. ［2013-06-15］. http://white.stanford.edu/~brian/hdr/hdr.html.
［17］C ADIK M. Index of/home/cadikm/tmo/hdr_images ［EB/OL］.(2006-12-03) ［2013-06-03］. http://dcgi.felk.cvut.cz/home/cadikm/tmo/hdr_images/.
［18］DEBEVEC P. Recovering high dynamic range radiance maps from photographs ［EB/OL］. ［2013-06-03］. http://www.pauldebevec.com/Research/HDR/.

[1]	. Pavement defect detection algorithm with enhanced morphological perception [J]. Journal of Computer Applications, 0, (): 0-0.
[2]	YANG Jianfeng, CHEN Bin, LI Yuxuan. Self-supervised point cloud anomaly detection method based on point cloud reconstruction [J]. Journal of Computer Applications, 0, (): 0-0.
[3]	XUE Zhenhua, LI Qiang, HUANG Chao. Vision foundation model-driven pixel-level image anomaly detection model [J]. Journal of Computer Applications, 0, (): 0-0.
[4]	. Binocular vision object location algorithm for robot arm grasping [J]. Journal of Computer Applications, 0, (): 0-0.
[5]	. Multi-attention contrastive learning for infrared small target detection [J]. Journal of Computer Applications, 0, (): 0-0.
[6]	LI Zhonghua, ZHONG Gengxin, FAN Ping, ZHU Hengliang. Camouflaged object detection by boundary mining and background guidance [J]. Journal of Computer Applications, 0, (): 0-0.
[7]	. Multi-view difficult airway recognition based on discriminant region guidance [J]. Journal of Computer Applications, 0, (): 0-0.
[8]	. Privacy preserving localization of surveillance images based on large vision models [J]. Journal of Computer Applications, 0, (): 0-0.
[9]	. Gravity data denoising method based on multilevel wavelet residual network#br# #br# [J]. Journal of Computer Applications, 0, (): 0-0.
[10]	. Data augmentation method for abnormal passenger behavior in elevators based on dynamic graph convolutional network [J]. Journal of Computer Applications, 0, (): 0-0.
[11]	. Text-based person retrieval method based on multi-granularity shared semantic center association [J]. Journal of Computer Applications, 0, (): 0-0.
[12]	ZHANG Qing, YANG Fan, FANG Yuhan. Chinese Spelling Correction Algorithm Based on Multi-Modal Information Fusion [J]. Journal of Computer Applications, 0, (): 0-0.
[13]	WANG Hao, WANG Jinwei, CHENG Xin, ZHANG Jiawei, WU Hao, LUO Xiangyang, MA Bin. A Review of JPEG Recompression Forensics for Color Images [J]. Journal of Computer Applications, 0, (): 0-0.
[14]	. Distribution adaptation and dynamic curriculum pseudo-labeling framework for semi-supervised fire detection [J]. Journal of Computer Applications, 0, (): 0-0.
[15]	. Multimodal harmful content detection method based on weakly supervised modality semantic enhancement [J]. Journal of Computer Applications, 0, (): 0-0.

Detail-preserving hierarchical tone-mapping algorithm for high dynamic range images

基于细节再现的高动态范围图像分层映射算法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics