Leonid P. Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Dr. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography.

"This seminal and highly influential monograph focuses on concrete phenomena for understanding and designing methods of imaging and image processing. … The reader will find a careful discussion of computational imaging, standard material about image reconstruction from sparse sampled data, description of statistically optimal estimation of image numerical parameters, and a presentation of various exercises supported by MATLAB programs."—Christian Brosseau, Optics & Photonics News"this is an excellent in-depth review of the fundamentals of digital imaging, best read for its general foundational content" —Contemporary Physics (Aug 2016)

• Introduction. Mathematical Preliminaries. Image Digitization. Discrete Signal Transformations. Digital Image Formation and Computational Imaging. Image Resampling and Building Continuous Image Models. Image Parameter Estimation: Case Study—Localization of Objects in Images. Image Perfecting. Index.

Leonid P. Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Dr. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography.

"This seminal and highly influential monograph focuses on concrete phenomena for understanding and designing methods of imaging and image processing. … The reader will find a careful discussion of computational imaging, standard material about image reconstruction from sparse sampled data, description of statistically optimal estimation of image numerical parameters, and a presentation of various exercises supported by MATLAB programs."—Christian Brosseau, Optics & Photonics News"this is an excellent in-depth review of the fundamentals of digital imaging, best read for its general foundational content" —Contemporary Physics (Aug 2016)

• Introduction. Mathematical Preliminaries. Image Digitization. Discrete Signal Transformations. Digital Image Formation and Computational Imaging. Image Resampling and Building Continuous Image Models. Image Parameter Estimation: Case Study—Localization of Objects in Images. Image Perfecting. Index.

Leonid P. Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Dr. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography.

"This seminal and highly influential monograph focuses on concrete phenomena for understanding and designing methods of imaging and image processing. … The reader will find a careful discussion of computational imaging, standard material about image reconstruction from sparse sampled data, description of statistically optimal estimation of image numerical parameters, and a presentation of various exercises supported by MATLAB programs."—Christian Brosseau, Optics & Photonics News"this is an excellent in-depth review of the fundamentals of digital imaging, best read for its general foundational content" —Contemporary Physics (Aug 2016)

• Introduction. Mathematical Preliminaries. Image Digitization. Discrete Signal Transformations. Digital Image Formation and Computational Imaging. Image Resampling and Building Continuous Image Models. Image Parameter Estimation: Case Study—Localization of Objects in Images. Image Perfecting. Index.