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» Robust approach for color image quality assessment
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ICASSP
2011
IEEE
13 years 10 days ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
CRV
2009
IEEE
186views Robotics» more  CRV 2009»
13 years 12 months ago
Optical Flow from Motion Blurred Color Images
This paper presents an algorithm for the estimation of optical flow from a single, motion-blurred, color image. The proposed algorithm is based on earlier work that estimated the...
Yasmina Schoueri, Milena Scaccia, Ioannis M. Rekle...
IPMI
2005
Springer
14 years 2 months ago
PET Image Reconstruction: A Robust State Space Approach
Statistical iterative reconstruction algorithms have shown improved image quality over conventional nonstatistical methods in PET by using accurate system response models and measu...
Huafeng Liu, Yi Tian, Pengcheng Shi
ICIP
2007
IEEE
14 years 14 days ago
Robust lip Localization on Multi-View Faces in Video
In this paper, a fast and robust multi-view lip localization algorithm in video is proposed. We consider lip localization as a binary classification problem, where a classifier is...
Yi Wu, Rui Ma, Wei Hu, Tao Wang, Yimin Zhang, Jian...
CHI
2010
ACM
14 years 3 months ago
Individual models of color differentiation to improve interpretability of information visualization
Color is commonly used to represent categories and values in many computer applications, but differentiating these colors can be difficult in many situations (e.g., for users with...
David R. Flatla, Carl Gutwin