Color, style and composition in image processing

Ph.D. Thesis of Mark Grundland: Color, Style and Composition in Image Processing My work presents image processing techniques for facilitating artistic visual expression. Inspired by both visual art and visual perception, the aim of my research is to enhance the possibilities of visual communication by extending the repertoire of creative techniques available to digital artists. My work offers new ways to transform style, color, and composition in digital imaging. To improve control over stylized rendering, I propose a concise, multiresolution image representation that can simultaneously support both photorealistic reconstruction and non-photorealistic rendering. To improve control over color and contrast enhancement, I propose recoloring techniques to remap colors, find and replace colors, and convert colors to grayscale. To improve control over image compositing, I propose image blending operators designed to produce composites that preserve key visual characteristics of their components, including contrast, color, detail, and salience. Seeking mathematical models to express aesthetic and perceptual goals, I develop algorithmic image transformations that are shown to have a variety of practical applications across automated image rendering and interactive image editing.

[1]  Jon Y. Hardeberg,et al.  Color Management for Digital Video : Color Correction in the Editing Phase , 2002 .

[2]  Dr. Rahman Tashakkori Image Enhancement , 2009, Encyclopedia of Biometrics.

[3]  Erik Reinhard,et al.  Color Transfer between Images , 2001, IEEE Computer Graphics and Applications.

[4]  Aaron Hertzmann,et al.  A survey of stroke-based rendering , 2003, IEEE Computer Graphics and Applications.

[5]  Edward H. Adelson,et al.  A multiresolution spline with application to image mosaics , 1983, TOGS.

[6]  P. J. Burt,et al.  The Pyramid as a Structure for Efficient Computation , 1984 .

[7]  Isaac Amidror,et al.  Scattered data interpolation methods for electronic imaging systems: a survey , 2002, J. Electronic Imaging.

[8]  Bruce Gooch,et al.  Color2Gray: salience-preserving color removal , 2005, SIGGRAPH 2005.

[9]  Arthur Robert Weeks,et al.  Histogram specification of 24-bit color images in the color difference (C-Y) color space , 1999, Electronic Imaging.

[10]  Yehoshua Y. Zeevi,et al.  The farthest point strategy for progressive image sampling , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5).

[11]  L. d Costa,et al.  Multiresolution Representation and Reconstruction of Adaptively Sampled Images , 1996 .

[12]  Karl Sims,et al.  Interactive evolution of equations for procedural models , 1993, The Visual Computer.

[13]  Robin N. Strickland,et al.  Digital Color Image Enhancement Based On The Saturation Component , 1987 .

[14]  Robert Geist,et al.  Re‐coloring Images for Gamuts of Lower Dimension , 2005, Comput. Graph. Forum.

[15]  Shmuel Peleg,et al.  PICTURES AS ELEMENTS IN VECTOR SPACE. , 1983, CVPR 1983.

[16]  Patrick Pérez,et al.  Poisson image editing , 2003, ACM Trans. Graph..

[17]  Tom Duff,et al.  Compositing digital images , 1984, SIGGRAPH.