Title : A Multiresolution Analysis for Graphical Color Image and Compression Using Hybrid Transform

Type of Material: Thesis
Title: A Multiresolution Analysis for Graphical Color Image and Compression Using Hybrid Transform
Researcher: Gowri Sankaran, B
Guide: Karthik, B
Department: Department of Electronics and Communication Engineering
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2020
Language: English
Subject: Engineering
Engineering and Technology
Engineering Electrical and Electronic
Electrical Engineering
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Electronics and Communication Engineering, Bharath University, Chennai, Chennai; 2020; D14EC003
Fulltext: Shodhganga

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040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aGowri Sankaran, B|eResearcher
110__|aDepartment of Electronics and Communication Engineering|bBharath University, Chennai|dChennai|ein
245__|aA Multiresolution Analysis for Graphical Color Image and Compression Using Hybrid Transform
260__|aChennai|bBharath University, Chennai|c2020
300__|dDVD
502__|bPhD|cDepartment of Electronics and Communication Engineering, Bharath University, Chennai, Chennai|d2020|oD14EC003
520__|aData compression is demonstrated to compress the size of information gathered in digital files. We have proposed a Bitmask and BCH compression technique to compress the size of image while keeping the decompression overhead minimal. In adaptive lossless dictionary based image compression, when compression ratio is compared among dictionary based approach, Bose Choudhari and Hocquenghem technique and bitmask compression technique then bitmask approach is better than BCH technique and BCH technique is better than dictionary approach. More reduction of bit occurs in bitmask and BCH technique when both applied simultaneously. The main motive is to provide good compression ratio which minimize the testing space and time complexity. Bitmask and BCH techniques produce better improvement in compression efficiency without adding any additional functionality or area overhead. The Next proposed work is to achieve modifications in SPIHT algorithm. SPIHT is widely used in image compression and modification of SPIHT algo
650__|aElectrical Engineering|2UGC
650__|aEngineering and Technology|2AIU
653__|aEngineering
653__|aEngineering and Technology
653__|aEngineering Electrical and Electronic
700__|aKarthik, B|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/309683|yShodhganga
905__|afromsg

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