A General Framework for Iterative Regularization in Image Processing Contents

ix Dedication x Acknowledgments xi 1 Introduction 1 1.

[1]  Sailes K. Sengijpta Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[2]  Dimitrios Hatzinakos,et al.  Signal-dependent film grain noise removal and generation based on higher-order statistics , 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.

[3]  B. Yu,et al.  Boosting with the L 2-loss regression and classification , 2001 .

[4]  Michael Elad,et al.  On the origin of the bilateral filter and ways to improve it , 2002, IEEE Trans. Image Process..

[5]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[6]  Michael Elad,et al.  Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.

[7]  Robert D. Nowak,et al.  An EM algorithm for wavelet-based image restoration , 2003, IEEE Trans. Image Process..

[8]  Tony F. Chan,et al.  The digital TV filter and nonlinear denoising , 2001, IEEE Trans. Image Process..

[9]  C. Vogel,et al.  Analysis of bounded variation penalty methods for ill-posed problems , 1994 .

[10]  R. Hamming,et al.  Sharpening the response of a symmetric nonrecursive filter by multiple use of the same filter , 1977 .

[11]  Charles C. Taylor,et al.  Boosting kernel density estimates: A bias reduction technique? , 2004 .

[12]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[14]  Stanley Osher,et al.  Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing , 2003, J. Sci. Comput..

[15]  Wotao Yin,et al.  An Iterative Regularization Method for Total Variation-Based Image Restoration , 2005, Multiscale Model. Simul..

[16]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[17]  Dimitrios Hatzinakos,et al.  Film grain noise removal and generation for color images , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[18]  Konstantinos Konstantinides,et al.  Image and Video Compression Standards: Algorithms and Architectures , 1997 .

[19]  Michael Elad,et al.  Multiframe demosaicing and super-resolution of color images , 2006, IEEE Transactions on Image Processing.

[20]  A. Tikhonov On the stability of inverse problems , 1943 .

[21]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[22]  Charles C. Taylor,et al.  Kernel Density Classification and Boosting , 2003 .

[23]  Antonin Chambolle,et al.  Image Decomposition into a Bounded Variation Component and an Oscillating Component , 2005, Journal of Mathematical Imaging and Vision.

[24]  Peyman Milanfar,et al.  Kernel Regression for Image Processing and Reconstruction , 2007, IEEE Transactions on Image Processing.

[25]  Dimitrios Hatzinakos,et al.  Signal-dependent film grain noise generation using homomorphic adaptive filtering , 2000 .