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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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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