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The Research of Multispectral Images Compression Algorithms Based on EBCOT and BMMV

Author: XiaoZheng
Tutor: KangLing;YiShanZuo
School: Huazhong University of Science and Technology
Course: Water Resources and Hydropower Engineering
Keywords: Multi-spectral image Correlation Image coding 3DWT BMMV EBCOT ROI coding
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 45
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Due to the special application of multi- spectral image , often require lossless compression , but weak correlation due to multi-spectral image space , complex and rich texture , caused by the currently available compression ratio has been generally low . With the rapid development of remote sensing technology , new types of space remote sensing , and the amount of data acquired by the sensor is more and more big , too heavy a burden to the image storage and transmission , making it difficult to cope with . Therefore, the study of multi-spectral image compression technology has a very important practical significance . Multispectral imaging characteristics of the image and image by the wavelet transform coefficient characteristics on the basis of technology and improvement of BMMV EBCOT algorithm (NEBCOT) This paper presents a new multi-spectral image compression scheme . First with 3DWT transformation simultaneous removal of redundant multispectral image space and spectrum . Image transformed , quantized , to some extent, to reduce the redundancy in the airspace and on the spectral domain , but there are still some correlation in the statistical sense . Utilization BMMV the technical and NEBCOT algorithm ( single band image using 2D NEBCOT encoding , multi - band image , using 3D NEBCOT encoding ) , and combined with the region of interest (ROI) coding , the entropy coding to eliminate between data The statistical correlation . The experimental results show that the new algorithm codec time image compression ratio and high quality of recovery , and support progressive transmission of images to achieve the desired effect .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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