Digital Image Processing: Practical Approach

The SpringerBrief covers fundamentals of digital image processing including imageconcept, image file formats, creating user interfaces and many practicalexamples of processing images using C++ and Java. These practicalexamples include among other creating image histograms, performinglossless image compression, detecting change in colors, similarity-basedimage retrieval and others. All practical examples are accompanied with an explanation how to create programsand the obtained results. This SpringerBrief can be very useful for the undergraduate courseson image processing, providing students with the basic tools in image analysis andprocessing. Practitioners and researchers working in this field will also find this research useful.