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Scanned compound images using different compression techniques
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2017 (English)In: Journal of Advanced Research in Dynamical and Control Systems, ISSN 1943-023X, Vol. 9, no Special Issue 2, p. 994-1000Article in journal (Refereed) Published
Abstract [en]

This Paper involves a detailed study of different compression techniques of scanned compound images. A compound image is a different kind of image that contains text, natural image and graphic image. Some of the Image compression techniques which include DCT,JPEG, H.264,MMP AND APM-MMP have been reviewed and presented in this paper. Discrete cosine transform (DCT) is a method which compresses the compound image without any loss of data. To compress image DCT is computed using two dimensional functions (2D).Join Picture Expert Group(JPEG) is mostly used as standard format for compressed images. Due to loss of data the compressed image differs from the original image.H.264 is a video compression standard which is also capable of compressing a compound image.MMP is specifically calculated to encode separately the macro blocks information of text and image. Since complexity is high in these above techniques the proposed technique Adaptive Probability Model-MMP solves the limitations like redundant data removal and enhances the image quality. It also improves the encoding efficiency thus modifying the MMP’s character.

Place, publisher, year, edition, pages
Institute of Advanced Scientific Research, Inc. , 2017. Vol. 9, no Special Issue 2, p. 994-1000
Keyword [en]
Adaptive Probability Model- Multidimensional Multiscale Parser (APM-MMP), Discrete cosine transform (DCT), H.264, Join Picture Expert Group(JPEG), Multidimensional Multiscale Parser (MMP), Scanned compound image
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-216759Scopus ID: 2-s2.0-85028457057OAI: oai:DiVA.org:kth-216759DiVA, id: diva2:1153598
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QC 20171031

Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2018-01-13Bibliographically approved

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  • asciidoc
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