Tania Pouli, Erik Reinhard, Douglas W. Cunningham

"This book is a survey of natural image statistics used in these days. It is presented in an accessible fashion full of color images. It contains more than 800 reference entries. So, it is a good starting point for all those who want to easily familiarize with the theory of the presented field. This book is good for computer scientists who want to start their research in digital imaging and for engineers who want to apply the described methods in practice."—Agnieszka Lisowska (Sosnowiec), in Zentralblatt MATH 1295

• BACKGROUND: Introduction. The Human Visual System. Image Collection and Calibration. IMAGE STATISTICS: First Order Statistics. Gradients, Edges, and Contrast. Fourier Analysis. Dimensionality Reduction. Wavelet Analysis. Markov Random Fields. BEYOND TWO DIMENSIONS: Color. Depth Statistics. Time and Motion. Appendix. Bibliography.

Tania Pouli, Erik Reinhard, Douglas W. Cunningham

"This book is a survey of natural image statistics used in these days. It is presented in an accessible fashion full of color images. It contains more than 800 reference entries. So, it is a good starting point for all those who want to easily familiarize with the theory of the presented field. This book is good for computer scientists who want to start their research in digital imaging and for engineers who want to apply the described methods in practice."—Agnieszka Lisowska (Sosnowiec), in Zentralblatt MATH 1295

• BACKGROUND: Introduction. The Human Visual System. Image Collection and Calibration. IMAGE STATISTICS: First Order Statistics. Gradients, Edges, and Contrast. Fourier Analysis. Dimensionality Reduction. Wavelet Analysis. Markov Random Fields. BEYOND TWO DIMENSIONS: Color. Depth Statistics. Time and Motion. Appendix. Bibliography.

Tania Pouli, Erik Reinhard, Douglas W. Cunningham

"This book is a survey of natural image statistics used in these days. It is presented in an accessible fashion full of color images. It contains more than 800 reference entries. So, it is a good starting point for all those who want to easily familiarize with the theory of the presented field. This book is good for computer scientists who want to start their research in digital imaging and for engineers who want to apply the described methods in practice."—Agnieszka Lisowska (Sosnowiec), in Zentralblatt MATH 1295

• BACKGROUND: Introduction. The Human Visual System. Image Collection and Calibration. IMAGE STATISTICS: First Order Statistics. Gradients, Edges, and Contrast. Fourier Analysis. Dimensionality Reduction. Wavelet Analysis. Markov Random Fields. BEYOND TWO DIMENSIONS: Color. Depth Statistics. Time and Motion. Appendix. Bibliography.