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AIPC 2017 - 2nd International Workshop on Advances in Image Processing and Colorization (AIPC'17)

Date2017-09-04 - 2017-09-07

Deadline2017-05-10

VenuePrague, Czech Republic Czech Republic

Keywords

Websitehttps://fedcsis.org/2017/aipc

Topics/Call fo Papers

Image Processing and Colorization are two fields which have shown a stable growth in the last decades. They have different impact in computer science and other research areas, e.g. biology, remote sensing, and medicine. Image processing is very important in medical applications, robotics, and other industrial applications. Recently, the study of “colorization” begins to attract attention. The colorization technique can colorize a monochrome image by giving a number of color pixels. Colorization is a computerized process of adding color to a black and white print, movie and TV program. Image Colorization has a great impact on different applications. Image processing and Colorization can also be combined in many applications. Different tools, from machine learning and mathematics, are greatly influencing the research areas in image processing and Colorization. Recently, bio-inspired optimization techniques have been used to improve the image processing techniques, segmentation and classification.
The purpose of the “Advances in Image Processing and Colorization” session is to bring scientists, researcher scholars, and students from academia and practitioners present ongoing research activities about both theoretical advances and applications of Image Processing and Colorization and to allow the exchange of new ideas and application experiences to face to face.
Topics
Topics of interest include but are not limited to:
Bio-inspired based image classification,
Bio-inspired based image segmentation,
Thermal image processing,
Biometric identification and authentication,
Face and iris recognition,
Bio-inspired based face and iris recognition,
New colorization approach,
Colorization image coding techniques,
Color embedding,
Applications of image colorization,
Video colorization,
Physics-based colorization,
Interactive colorization method,
Colorization using optimization techniques,
Colorization for monochrome Image,
Color to gray and back.

Last modified: 2016-11-06 22:46:31