This book is a complete study guide that fits the needs of engineers as well as those of newcomers to the field. Its most important feature is the way the author allows students with a little background in mathematics to go through all the topics presented without getting lost or discouraged. The purpose is achieved with a simple but efficient strategy: an easy to follow level is the main body of the book and a lot of examples provide the reader with all the tools necesary to grasp the basics. The higher level material (advanced mathematics) is therefore not indispensable. | Ian T. Young et. Al. Image Processing Fundamentals. 2000 CRC Press LLC. http . Image Processing Fundamentals Ian T. Young Delft University of Technology The Netherlands Jan J. Gerbrands Delft University of Technology The Netherlands Lucas J. van Vliet Delft University of Technology The Netherlands Introduction Digital Image Definitions Common Values Characteristics of Image Operations Video Parameters Tools Convolution Properties of Convolution Fourier Transforms Properties of Fourier Transforms Statistics Contour Representations Perception Brightness Sensitivity Spatial Frequency Sensitivity Color Sensitivity Optical Illusions Image Sampling Sampling Density for Image Processing Sampling Density for Image Analysis Noise Photon Noise Thermal Noise On-Chip Electronic Noise KTC Noise Amplifier Noise Quantization Noise Cameras Linearity Sensitivity SNR Shading Pixel Form Spectral Sensitivity Shutter Speeds Integration Time Readout Rate Displays Refresh Rate Interlacing Resolution Algorithms Histogram-Based Operations Mathematics-Based Operations Convolution-Based Operations Smoothing Operations Derivative-Based Operations Morphology-Based Operations Shading Correction Basic Enhancement and Restoration Techniques Segmentation Acknowledgments References Introduction Modern digital technology has made it possible to manipulate multidimensional signals with systems that range from simple digital circuits to advanced parallel computers. The goal of this manipulation can be divided into three categories Image Processing image in image out Image Analysis image in measurements out Image Understanding image in high-level description out 1999 by CRC Press LLC In this section we will focus on the fundamental concepts of image processing. Space does not permit us to make more than a few introductory remarks about image analysis. Image understanding requires an approach that differs .
