Digital Image Processing Part 1 by Huiyu Zhou, Jiahua Wu & Jianguo Zhang

digital-img-p1Digital image processing is an important research area. The techniques developed in this area so far require to be summarized in an appropriate way. In this book, the fundamental theories of these techniques will be introduced. Particularly, their applications in image de-noising, restoration, and segmentation will be introduced. The entire book consists of four chapters, which will be subsequently introduced. Digital image processing is the technology of applying a number of computer algorithms to process digital images. The outcomes of this process can be either images or a set of representative characteristics or properties of the original images. The applications of digital image processing have been commonly found in robotics/intelligent systems, medical imaging, remote sensing, photography and forensics. Digital image processing directly deals with an image, which is composed of many image points. These image points, also namely pixels, are of spatial coordinates that indicate the position of the points in the image, and intensity (or gray level) values.

 

A colorful image accompanies higher dimensional information than a gray image, as red, green and blue values are typically used in different combinations to reproduce colors of the image in the real world. In this book the readers will read Introduction to Digital image processing, Purpose of digital image processing, Application areas that use digital image processing, Components of an image processing system, Visual perception, Image acquisition, Image sampling and quantization, Basic relationship between pixels, Intensity transformations and spatial filtering, Preliminaries, Basic intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering, smoothing Spatial Filters, Sharpening filters, Combining image enhancement methods, Filtering in the Frequency Domain, Sampling and the Fourier Transform of Sampled Functions, Discrete Fourier Transform, Extension to Functions of Two Variables, Some Properties of the 2-D Discrete Fourier Transform, The Basics of Filtering in the Frequency Domain, Image smoothing using frequency domain filters, Image sharpening using frequency domain filters, References and further reading, Problems, Image degradation and restoration, Noise analysis, Restoration with spatial analysis, Restoration with frequency analysis, Motion blur and image restoration, Geometric transformation and much more.

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