Vision is the most powerful of the five human senses. Visual information, conveyed in the form of imagesgives better impact than textual information. The fields of digital image processing have grown tremendouslyover the past 30 years. The growth of digital image processing has been fueled by technological advancesin digital imaging, computer processors and mass storage devices. Research and development of image processingtechnologies have advanced very rapidly in the past decade. Digital image processing is concernedprimarily with the extraction of useful information from images. In this process, it also deals with 1) imagerepresentation, 2) enhancing the quality of an image, 3) restoration of the original image from its degradedversion, and 4) compression of the large amount of data in the images for efficient archiving and retrieval.Image-processing algorithms can be classified into three different categories. At the lowest level, the algorithmdeals directly with the raw pixel values (image denoising and edge detection are good examples). In themiddle level, the algorithm utilises low-level results for processes such as segmentation and edge linking.At the highest level, the algorithm attempts to extract semantic information from those provided by the lowerlevels. Examples of high-level algorithms are handwriting recognition, face recognition and machine visionalgorithms. The objective of this book is to not only introduce different concepts of digital image processingto undergraduate and postgraduate students but also to serve as a handbook for practicing engineers.
Digital Image Processing By Jayaraman S, Veerakumar T, Esakkirajan S
Digital Image Processing - International Edition [by Jayaraman S, Veerakumar T, Esakkirajan S] on Amazon.com. instant invoice n cashbook 10 6 1 1 downloads torrentdigital image processing - s jayaraman s esakkirajan t veerakumar tmh 2010*FREE* shipping on qualifying offers.. Digital ...
I just started learning about image processing. I am using the book "Digital image processing" by Gonzalez and Woods but I don't like this book very much. I would like to read a book which can actually make me interested in image processing.
Do you really want to read a book? As a good resource to start, I'd suggest playing around with the scikit-image library. Trying the classical algorithms with real-world images will give you a nice feel of how difficult & amusing image processing is.
Inspec keywords: image denoising;image coding;quantisation (signal);regression analysis;data compression;discrete cosine transforms;adaptive signal processing;wavelet transforms;image reconstruction;computational complexity 2ff7e9595c
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