The Color Of Representation

Examines congressional responsiveness to the interests of citizens of color

This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered to be functions of a continuous wavelength variable. This leads into the formulation of color space as a three-dimensional vector space, with all the associated structure. The approach is to start with the axioms of color matching for normal human viewers, often called Grassmann's laws, and developing the resulting vector space formulation. However, once the essential defining element of this vector space is identified, it can be extended to other color spaces, perhaps for different creatures and devices, and dimensions other than three. The CIE spaces are presented as main examples of color spaces. Many properties of the color space are examined. Once the vector space formulation is established, various useful decompositions of the space can be established. The first such decomposition is based on luminance, a measure of the relative brightness of a color. This leads to a direct-sum decomposition of color space where a two-dimensional subspace identifies the chromatic attribute, and a third coordinate provides the luminance. A different decomposition involving a projective space of chromaticity classes is then presented. Finally, it is shown how the three types of color deficiencies present in some groups of humans leads to a direct-sum decomposition of three one-dimensional subspaces that are associated with the three types of cone photoreceptors in the human retina. Next, a few specific linear and nonlinear color representations are presented. The color spaces of two digital cameras are also described. Then the issue of transformations between different color spaces is addressed. Finally, these ideas are applied to signal and system theory for color images. This is done using a vector signal approach where a general linear system is represented by a three-by-three system matrix. The formulation is applied to both continuous and discrete space images, and specific problems in color filter array sampling and displays are presented for illustration. The book is mainly targeted to researchers and graduate students in fields of signal processing related to any aspect of color imaging.

A further development of Tye's theory of phenomenal consciousness along with replies to common objections.

Beyond the Frame explores the importance of visual images in the identities and material conditions of women of color as they relate to social power, oppression, and resistance. The goal of the collection is to rethink the category of visual theory through women of color. It also explores the political and social ramifications of visual imagery for women of color, and the political consciousness that can emerge alongside a critical understanding of the impact of visual imagery. The book begins with a general exploration of what it means to develop a women of color criticism (rather than an analysis of women of color), and goes on to look specifically at topics such as 90s fashion advertisements, the politics of cosmetic surgery, and female fans of East LA rock bands.

In the critical essays collected in Black Looks, bell hooks interrogates old narratives and argues for alternative ways to look at blackness, black subjectivity, and whiteness. Her focus is on spectatorship—in particular, the way blackness and black people are experienced in literature, music, television, and especially film—and her aim is to create a radical intervention into the way we talk about race and representation. As she describes: "the essays in Black Looks are meant to challenge and unsettle, to disrupt and subvert." As students, scholars, activists, intellectuals, and any other readers who have engaged with the book since its original release in 1992 can attest, that's exactly what these pieces do.

Perception is the first step in the whole of the cognitive processes (attention, learning, memory, categorization, imagery, intuition, inference, comprehension, thought, judgement, expression) which culminate in the reasoning activity and to which emotions make a contribution. The production of perception representations is correlated with the perception events. Such perception representations occur by means of the contribution of two kinds of factors: sensory signals which reproduce the spatio-temporal characteristics of the receptor modifications, and interpretation of the intrinsic ambiguity of such signals by means of unconscious inferences. Various interactions intervene between bottom-up signals from peripheral receptors and top-down signals from higher centres.

This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book’s 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations