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ICIP
2006
IEEE
16 years 8 months ago
Determining Achievable Rates for Secure, Zero Divergence, Steganography
In steganography (the hiding of data into innocuous covers for secret communication) it is difficult to estimate how much data can be hidden while still remaining undetectable. To...
Kenneth Sullivan, Kaushal Solanki, B. S. Manjunath...
ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
16 years 1 months ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...
SMI
2005
IEEE
106views Image Analysis» more  SMI 2005»
16 years 6 days ago
Shape Complexity Based on Mutual Information
Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are ...
Jaume Rigau, Miquel Feixas, Mateu Sbert
ECCV
2006
Springer
16 years 8 months ago
Discovering Texture Regularity as a Higher-Order Correspondence Problem
Abstract. Understanding texture regularity in real images is a challenging computer vision task. We propose a higher-order feature matching algorithm to discover the lattices of ne...
James Hays, Marius Leordeanu, Alexei A. Efros, Yan...
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
16 years 20 days ago
Directional Weighting-Based Demosaicking Algorithm for Noisy CFA Environments
Captured CFA data by image sensors like CCD/or CMOS are often corrupted by noises. To produce high quality images acquired by CCD/CMOS digital cameras, the problem of noise needs ...
Hung-Yi Lo, Tsung-Nan Lin, Chih-Lung Hsu, Cheng-hs...