From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. A great number of other features and arrangements are also detailed.

Methods and Systems for Content Processing

Exploring and identifying structure is even more important for multivariate data than univariate data, given the difficulties in graphically presenting multivariate data and the comparative lack of parametric models to represent it. Unfortunately, such exploration is also inherently more difficult.

Multivariate Density Estimation

Color measurement in L ¿ a ¿ b ¿ units from RGB digital images

Major growth in the image sensor market is largely as a result of the expansion of digital imaging into cameras, whether stand-alone or integrated within smart cellular phones or automotive vehicles. Applications in biomedicine, education, environmental monitoring, optical communications, pharmaceutics and machine vision are also driving the development of imaging technologies. Organic photodiodes (OPDs) are now being investigated for existing imaging technologies, as their properties make them interesting candidates for these applications. OPDs offer cheaper processing methods, devices that are light, flexible and compatible with large (or small) areas, and the ability to tune the photophysical and optoelectronic properties − both at a material and device level. Although the concept of OPDs has been around for some time, it is only relatively recently that significant progress has been made, with their performance now reaching the point that they are beginning to rival their inorganic counterparts in a number of performance criteria including the linear dynamic range, detectivity, and color selectivity. This review covers the progress made in the OPD field, describing their development as well as the challenges and opportunities.

Organic Photodiodes: The Future of Full Color Detection and Image Sensing

This paper describes the design of color filter arrays (CFAs) used in the consumer-grade digital camera, and analyses their influence on the performance of the demosaicking process. Of particular interest are RGB CFAs widely used in a single-sensor imaging pipeline. Different design characteristics of various image-enabled consumer electronic devices by the different manufacturers lead to the several arrangements of the color filters in the CFA, affecting both performance and computational efficiency of the demosaicking solution. Extensive experimentation, using ten RGB CFAs and a universal demosaicking framework, reported in this paper indicates that the CFA has a great impact on both the objective and subjective (visual) quality of the demosaicked, full-color image.

/pdf/color-filter-arrays-design-and-performance-analysis-1ctsl2w2sa.pdf

Color filter arrays: design and performance analysis

https://www.dsp.utoronto.ca/~kostas/Publications2008/pub/65.pdf

Rapid and brief communication: Bit-level based secret sharing for image encryption

ICC Color Management: Architecture and Implementation A. Sharma Versatile Gamut Mapping Method Based on Image-to-Device Concept H. Kotera and R. Saito Three-, Two-, One-, and Six-Dimensional Color Constancy G.D. Finlayson Noise Reduction and Edge Detection in Color Images B. Smolka and A.N. Venetsanopoulos Color Image Segmentation: Selected Techniques H. Palus Resizing Color Images in the Compressed Domain J. Mukherjee and S.K. Mitra Color Image Halftoning V. Monga, N. Damera-Venkata, and B.L. Evans Secure Color Imaging R. Lukac and K.N. Plataniotis Color Feature Detection T. Gevers, J. van de Weijer, and H. Stokman Color Spatial Arrangement for Image Retrieval by Visual Similarity S. Berretti and A. Del Bimbo Semantic Processing of Color Images S. Dasiopoulou, E. Spyrou, Y. Kompatsiaris, Y. Avrithis, and M.G. Strintzis Color Cue in Facial Image Analysis B. Martinkauppi, A. Hadid, and M. Pietikainen Using Colors for Eye Tracking D.W. Hansen Automated Identification of Diabetic Retinal Exudates in Digital Color Images A. Osareh Real-Time Color Imaging Systems P.A. Laplante and P. Vercellone-Smith Single-Sensor Camera Image Processing R. Lukac and K.N. Plataniotis Spectral Imaging and Applications M.F. Carlsohn, B.H. Menze, M. Kelm, F.A. Hamprecht, A. Kercek, R. Leitner, and G. Polder Image Enhancement for Plasma Display Panels C.W. Kim, Y.H. Kim, and H.S. Seong Image Processing for Virtual Artwork Restoration A. De Rosa, A. Piva, and V. Cappellini Image and Video Colorization L. Yatziv and G. Sapiro Superresolution Color Image Reconstruction H. He and L.P. Kondi Coding of Two-Dimensional and Three-Dimensional Color Image Sequences S. Argyropoulos, N.V. Boulgouris, N. Thomos, Y. Kompatsiaris, and M.G. Strintzis Color-Based Video Shot Boundary Detection C. Cotsaces, Z. Cernekova, N. Nikolaidis, and I. Pitas The Use of Color Features in Automatic Video Surveillance Systems S. Piva, M. Spirito, and C.S. Regazzoni Index

/pdf/color-image-processing-methods-and-applications-nhseuzjmd9.pdf

Color Image Processing : Methods and Applications

Single-sensor camera image processing methods are becoming increasingly important due to the emergence of digital camera based applications and commercial devices. Presenting the state of the art, Single-Sensor Imaging provides comprehensive coverage of system design, implementation, and application aspects of single-sensor imaging and digital camera processing. This book focuses on three key areas: embedded software camera platforms, camera storage formats, and decoding raw photos. The text covers a wide range of applications including color and multispectral filter array design, spectral modeling, demosaicking, spatial interpolation, white balancing, and camera image compression.

Rastislav Lukac

Papers

Color filter arrays: design and performance analysis

Rapid and brief communication: Bit-level based secret sharing for image encryption

Color Image Processing : Methods and Applications

Single-Sensor Imaging: Methods and Applications for Digital Cameras

A Taxonomy of Color Image Filtering and Enhancement Solutions