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The Mixed Raster Content (MRC) standard (ITU-T T.44) specifies a framework for document compression which can dramatically improve the compression/quality tradeoff as compared to traditional lossy image compression algorithms. The key to MRC's performance is the separation of the document into foreground and background layers, represented as a binary mask.(More)
The mixed raster content (MRC) standard (ITU-T T.44) specifies a framework for document compression which can dramatically improve the compression/quality tradeoff as compared to traditional lossy image compression algorithms. The key to MRC compression is the separation of the document into foreground and background layers, represented as a binary mask.(More)
Computed tomography (CT) is widely used in transportation security applications [1], [2]. Among various CT scanner geometries, multi-slice helical CT has come into wide use due to its fast acquisition and large scan coverage. In fact, many airports have installed multi-slice helical CT systems as a central component of baggage screening. However, the more(More)
While Markov random field (MRF) models have been widely used in the solution of inverse problems, a major disadvantage of these models is the difficulty of parameter estimation. At its root, this parameter estimation problem stems from the inability to explicitly express the joint distribution of an MRF in terms of the conditional distributions of elements(More)
Computed Tomography (CT) is widely used for transportation security to screen baggage for potential threats. For example, many airports use X-ray CT to scan the checked baggage of airline passengers. The resulting reconstructions are then used for both automated and human detection of threats. Recently, there has been growing interest in the use of(More)
Bayesian model-based inversion has been applied to many applications, sueh as tomographic reconstructions. However, one limitation of these methods is that prior models are quite simple; so they are not capable of being trained to statistically represent subtle detail in images. In this paper, we demonstrate how novel prior modeling methods based on(More)
Kisner, Sherman J. Ph.D., Purdue University, December 2013. Image Reconstruction for X-ray Computed Tomography in Security Screening Applications. Major Professor: Charles A. Bouman. X-ray tomographic systems have increasingly widespread use in security screening applications. For example, most major airports now utilize X-ray CT systems for efficient(More)
RNA-protein interactions play important roles in gene regulation, functional RNA-protein complexes such as the ribosome, and in viral replication. Molecules that regulate specific RNA-protein interactions may be used to dissect biological processes, and to establish the validity of targeting an RNA-protein interaction. There are many examples of biological(More)
Haneda, Eri Ph.D., Purdue University, May 2011. Markov Random Field Model Based Text Segmentation and Image Post Processing of Complex Scanned Documents. Major Professor: Charles A. Bouman. In this dissertation, two image processing studies will be presented. The first study is segmentation for MRC document compression using an MRF model, and the second(More)