Pixel Color Code

Digital Image Processing: Practical Approach

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

Coding for Data and Computer Communications

Coding is a highly integral component of viable and efficient computer and data communications, yet the often heavy mathematics that form the basis of coding may prevent a serious and practical understanding of this important area. Coding for Data and Computer Communications avoids the complex mathematics, favoring the core concepts, principles, and methods of channel codes (for error correction), source codes (for compressing data), and secure codes (for data privacy). The most important approaches and techniques used to make the storage and transmission of information (data) fast, secure, and reliable are examined. This book is an essential resource for all security researchers and professionals who need to understand and effectively use coding employed in computers and data communications. Anchored by a clear, nonmathematical exposition, all the major topics, principles, and methods are presented in an accessible style suitable for professional specialists, nonspecialists, students, and individual self-study.

Official Gazette of the United States Patent and Trademark Office