th Although photography has its beginning in the 17 century, it was only in the 1920's that photography emerged as a science. And as with other s- ences, mathematics began to play an increasing role in the development of photography. The mathematical models and problems encountered in p- tography span a very broad spectrum, from the molecular level such as the interaction between photons and silver halide grains in image formation, to chemical processing in ?lm development and issues in manufacturing and quality control. In this book we present mathematical models that arise in today's p- tographic science. The book contains seventeen chapters, each dealing with oneareaofphotographicscience.Eachchapter,exceptthetwointroductory chapters, begins with general background information at a level understa- able by graduate and undergraduate students. It then proceeds to develop a mathematical model, using mathematical tools such as Ordinary Di?erential Equations, Partial Di?erential Equations, and Stochastic Processes. Next, some mathematical results are mentioned, often providing a partial solution to problemsraisedby the model.Finally,mostchaptersinclude problems.By the nature of the subject, there is quite a bit ofdisparity in the mathematical level of the various chapters.
Reviews / Votes
This book provides an interesting and well documented presentation of mathematical topics related to photographic sciences. [...] This is an attractive and easy to read book, which is characterized by a valuable (in the reviewer¿s opinion) feature: each chapter covers the whole path from the phenomenological analysis and interpretation of the real system, to modeling, statement of problems related to the application of models, an outline of qualitative analysis, and finally to perspectives and open problems.
This book is recommended to applied mathematicians interested in industrial mathematics and is intended for applications and the development of mathematical methods for problems generated from technology. It is also a good text for advanced university courses on mathematical modeling to be joined to courses on computational methods.
Applied mathematicians will find a description of open problems which are definitely challenging even for experienced mathematicians.
MathSciNet 2004. Nicola Bellomo (I-TRNP)
Series
Edition
Softcover reprint of the original 1st ed. 2003
Language
Place of publication
Publishing group
Target group
Professional and scholarly
Professional/practitioner
Illustrations
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
ISBN-13
978-3-642-62913-6 (9783642629136)
DOI
10.1007/978-3-642-55755-2
Schweitzer Classification
Anver Friedman is a Distinguished University Professor. He received his PH.D. degree in 1956 from the Hebrew University. His research interests include partial differential equations, both general mathematical theory as well as applications to models that arise in the physical and life sciences, in engineering, and in industry.
Chiu-Yen Kao is an Associate Professor at Claremont McKenna College. Her area of expertise is in applied mathematics.
1. History of Photography.- References.- I. The Components of a Film.- 2. An Overview.- 3. Crystal Growth - Ostwald Ripening.- 4. Crystal Growth-Sidearm Precipitation.- 5. Gelatin Swelling.- 6. Gelation.- 7. Polymeric Base.- II. The Role of Surfactants.- 8. Limited Coalescence.- 9. Measuring Coalescence.- III. Coating.- 10. Newtonian Coating Flows.- 11. Coating Configurations.- 12. Curtain Coating.- 13. Shear Thinning.- IV. Image Capture.- 14. Latent Image Formation.- 15. Granularity.- V. Development.- 16. A Reaction-Diffusion System.- 17. Parameter Identification.