Despite the educational and professional advances made by minorities in recent decades, African Americans remain woefully underrepresented in the fields of science, technology, mathematics, and engineering. Even at its peak, in 2000, African American representation in engineering careers reached only 5.7 percent, while blacks made up 15 percent of the U.S. population. Some forty-five years after the Civil Rights Act sought to eliminate racial differences in education and employment, what do we make of an occupational pattern that perpetually follows the lines of race? Race, Rigor, and Selectivity in U.S. Engineering pursues this question and its ramifications through historical case studies. Focusing on engineering programs in three settings--in Maryland, Illinois, and Texas, from the 1940s through the 1990s--Amy E. Slaton examines efforts to expand black opportunities in engineering as well as obstacles to those reforms. Her study reveals aspects of admissions criteria and curricular emphases that work against proportionate black involvement in many engineering programs. Slaton exposes the negative impact of conservative ideologies in engineering, and of specific institutional processes--ideas and practices that are as limiting for the field of engineering as they are for the goal of greater racial parity in the profession.

Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics-topics drawn from a broad range of disciplines. One can acquire the requisite background with an armload of physics, chemistry, engineering, computer science, and mathematics books and journals- or one can find it here, in the Digital Color Imaging Handbook. Unprecedented in scope, this handbook presents, in a single concise and authoritative publication, the elements of these diverse areas relevant to digital color imaging. The first three chapters cover the basics of color vision, perception, and physics that underpin digital color imaging. The remainder of the text presents the technology of color imaging with chapters on color management, device color characterization, digital halftoning, image compression, color quantization, gamut mapping, computationally efficient transform algorithms, and color image processing for digital cameras. Each chapter is written by world-class experts and largely self-contained, but cross references between chapters reflect the topics' important interrelations. Supplemental materials are available for download from the CRC Web site, including electronic versions of some of the images presented in the book.