DNA microarrays are useful to identify the function and regulation of a large number of genes in a single experiment, even whole genomes. In this work, we analyze the relationship between DNA microarray image histogra...
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ISBN:
(纸本)9780769546568
DNA microarrays are useful to identify the function and regulation of a large number of genes in a single experiment, even whole genomes. In this work, we analyze the relationship between DNA microarray image histograms and the compression performance of lossless JPEG2000. Also, a reversible transform based on histogram swapping is proposed. Intensive experimental results using different coding parameters are discussed. Results suggest that this transform improves previous lossless JPEG2000 results on all DNA microarray image sets.
The use of microarray expression data in state-of-the-art biology has been well established. The widespread adoption of this technology, coupled with the significant volume of data generated per experiment, in the for...
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The use of microarray expression data in state-of-the-art biology has been well established. The widespread adoption of this technology, coupled with the significant volume of data generated per experiment, in the form of images, has led to significant challenges in storage and query retrieval. In this paper, we present a lossless bitplane-based method for efficient compression of microarray images. This method is based on arithmetic coding driven by image-dependent multibitplane finite-context models. It produces an embedded bitstream that allows progressive, lossy-to-lossless decoding. We compare the compression efficiency of the proposed method with three image compression standards (JPEG2000, JPEG-LS, and JBIG) and also with the two most recent specialized methods for microarray imagecoding. The proposed method gives better results for all images of the test sets and confirms the effectiveness of bitplane-based methods and finite-context modeling for the lossless compression of microarray images.
The interest in methods that are able to efficiently compress microarray images is relatively new. This is not surprising, since the appearance and fast growth of the technology responsible for producing these images ...
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The interest in methods that are able to efficiently compress microarray images is relatively new. This is not surprising, since the appearance and fast growth of the technology responsible for producing these images is also quite recent. In this paper, we present a set of compression results obtained with 49 publicly available images, using three image coding standards: lossless JPEG2000, JBIG, and JPEG-LS. We concluded that the compression technology behind JBIG seems to be the one that offers the best combination of compression efficiency and flexibility for microarray image compression.
We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work. First, we des...
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We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work. First, we describe the most relevant approaches published in the literature and classify them according to the stage of the typical image compression process where each approach makes its contribution, and then we summarize the compression results reported for these microarray-specific image compression schemes. In a set of experiments conducted for this paper, we obtain new results for several popular imagecoding techniques that include the most recent codingstandards. Prediction-based schemes CALIC and JPEG-LS are the best-performing standard compressors, but are improved upon by the best microarray-specific technique, Battiato's CNN-based scheme.
Digital image compression techniques are reviewed in this paper. To achieve a high compression ratio at a certain image quality, a combination f these techniques is used in practical systems. Factors affecting choice ...
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ISBN:
(纸本)0819422916
Digital image compression techniques are reviewed in this paper. To achieve a high compression ratio at a certain image quality, a combination f these techniques is used in practical systems. Factors affecting choice of image compression techniques are discussed in detail. Three international standards on image compression techniques, such as JEPG, MPEG, and H.261 are briefly described.
With the increasing use of multimedia techniques, image compression requires higher performance as well as new features. A development of new image coding standards (MPEG - 4 VTC, JPEG2000) is reviewed in the paper, a...
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ISBN:
(纸本)078037228X
With the increasing use of multimedia techniques, image compression requires higher performance as well as new features. A development of new image coding standards (MPEG - 4 VTC, JPEG2000) is reviewed in the paper, along with comparative analysis of performances and functionalities. The results shown that the choice of the best standard depends strongly on the application at hand, but that JPEG2000 supports the widest set of features among the evaluated standards, while providing superior rate-distortion performance in most cases.
In this paper we overview histogram packing methods and focus on an off-line packing method, which requires encoding the original histogram along with the compressed image. For a diverse set containing medical MR, CR ...
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ISBN:
(纸本)9783319184227;9783319184210
In this paper we overview histogram packing methods and focus on an off-line packing method, which requires encoding the original histogram along with the compressed image. For a diverse set containing medical MR, CR and CT images as well as various natural 16-bit images, we report histogram packing effects obtained for several histogram encoding methods. The histogram packing improves significantly JPEG2000 and JPEG-LS lossless compression ratios of high bit depth sparse histogram images. In case of certain medical image modalities the improvement may exceed a factor of two, which indicates that histogram packing should be exploited in medical image databases as well as in medical picture archiving and communication systems in general as it is both highly advantageous and easy to apply.
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