Guo K H, Labate D. Optimally Sparse Multidimensional Representation Using Shearlet. SIAM Journal on Mathematical Analysis, 2007, 39(1): 298-318
[2]
Guo Q. Research on Shearlet-Based Statistical Model for Images and Its Applications. Ph.D Dissertation. Shanghai, China: Shanghai University, 2010 (in Chinese)(郭 强.基于剪切波变换的图像统计模型及其应用研究.博士学位论文.上海:上海大学, 2010)
[3]
Kutyniok G, Labate D. Shearlet: Multiscale Analysis for Multiva-riate Data. Basel, Switzerland: Birkhauser, 2012: 22-59
[4]
Donoho D L. De-noising by Soft-Thresholding. IEEE Trans on Information Theory, 1995, 41(3): 613-627
[5]
Goferman S, Zelnik-Manor L, Tal A. Context-Aware Saliency Detection. IEEE Trans on Pattern Analysis and Machine Intelligence, 2012, 34(10): 1915-1926
[6]
Murray N, Vanrell M, Otazu X, et al. Saliency Estimation Using a Non-parametric Low-Level Vision Model // Proc of the 24th IEEE Conference on Computer Vision and Pattern Recognition. Providence, USA, 2011: 433-440
[7]
Liu T, Yuan Z J, Sun J, et al. Learning to Detect a Salient Object. IEEE Trans on Pattern Analysis and Machine Intelligence, 2010, 33(2): 353-367
[8]
Chen Z L. Research on Region of Interest Extraction. Ph.D Dissertation. Changsha, China: Central South University, 2012 (in Chinese) (陈再良.图像感兴趣区域提取方法研究.博士学位论文.长沙:中南大学, 2012)
[9]
Itti L, Koch C, Niebur E. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. IEEE Trans on Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254-1259
[10]
Itti L. Models of Bottom-Up and Top-Down Visual Attention. Ph.D Dissertation. Pasadena, USA: California Institute of Technology, 2000
[11]
Liu Q, Han T, Sun Y T, et al. A Two Step Salient Objects Extraction Framework Based on Image Segmentation and Saliency Detection. Multimedia Tools and Applications, 2013, 67(1): 231-247
[12]
Duncan K, Sarkar S. Relational Entropy-Based Saliency Detection in Images and Videos // Proc of the 19th IEEE International Confe-rence on Image Processing. Orlando, USA, 2012: 1093-1096
[13]
Guo C L, Zhang L M. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression. IEEE Trans on Image Processing, 2010, 19(1): 185-198
[14]
Li J, Levine M D, An X J, et al. Visual Saliency Based on Scale-Space Analysis in the Frequency Domain. IEEE Trans on Pattern Analysis and Machine Intelligence, 2013, 35(4): 996-1010
[15]
Chen Z X. The Curvelet Transform and Its Application to Information Extraction for Potential Data. Ph.D Dissertation. Beijing, China: China University of Geosciences, 2012 (in Chinese) (陈召曦.位场数据的曲波变换与信息提取应用.博士学位论文.北京:中国地质大学, 2012)
[16]
Ma J W, Plonka G. The Curvelet Transform. IEEE Signal Processing Magazine, 2010, 27(2): 118-133
[17]
Ngau C W H, Ang L M, Seng K P. Bottom-Up Visual Saliency Map Using Wavelet Transform Domain // Proc of the 3rd IEEE International Conference on Computer Science and Information Technology. Chengdu, China, 2010, I: 692-695
[18]
Li Z Q, Fang T, Huo H. A Saliency Model Based on Wavelet Transform and Visual Attention. SCIENCE CHINA Information Sciences, 2010, 53(4): 738-751
[19]
Imamoglu N, Lin W S, Fang Y M. A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform. IEEE Trans on Multimedia, 2013, 15(1): 96-105
