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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/679

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contributor.authorPattanaik, S K-
contributor.authorMahapatra, K K-
date.accessioned2008-04-25T11:48:29Z-
date.available2008-04-25T11:48:29Z-
date.issued2006-
identifier.citationDevelopment of Low Power Image Compression Techniques, Thesis submitted in partial fulfillment of the requirements for the degree of the Master of Technology by Research in Electronics, to National Institute of Technology, Rourkelaen
identifier.urihttp://hdl.handle.net/2080/679-
descriptionCopyright for the Thesis belongs to National Insitute of technology Rourkelaen
description.abstractDigital camera is the main medium for digital photography. The basic operation performed by a simple digital camera is, to convert the light energy to electrical energy, then the energy is converted to digital format and a compression algorithm is used to reduce memory requirement for storing the image. This compression algorithm is frequently called for capturing and storing the images. This leads us to develop an efficient compression algorithm which will give the same result as that of the existing algorithms with low power consumption. As a result the new algorithm implemented camera can be used for capturing more images then the previous one. 1) Discrete Cosine Transform (DCT) based JPEG is an accepted standard for lossy compression of still image. Quantisation is mainly responsible for the amount loss in the image quality in the process of lossy compression. A new Energy Quantisation (EQ) method proposed for speeding up the coding and decoding procedure while preserving image quality. Some of the high frequency components of the transformed sub image are preserved in accordance to the quantisation value. There is no need of a dequantiser at the decoder side. This would enable reduction of hardware and would make the implementation much simpler. The proposed EQ method is modified and two new quatisation techniques Modified Energy Quantisation (MEQ) and Rule Based Energy Quantisation (RBEQ) proposed to further reduce the hardware requirement.en
format.extent24990328 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherNational Institute of Technology, Rourkelaen
titleDevelopment of Low Power Image Compression Techniquesen
typeThesisen
Appears in Collections:Thesis (MTech by Research)

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