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An Optimized Image Format.

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dc.contributor.author Usman Ul Haq
dc.date.accessioned 2022-09-27T11:21:34Z
dc.date.available 2022-09-27T11:21:34Z
dc.date.issued 2001
dc.identifier.uri http://hdl.handle.net/123456789/13367
dc.description Supervised by Ms. Saima Jawad en_US
dc.description.abstract Networks are the most common part of today's computer systems. The basic requirement of networks is speed, reliability and cost, the techniques used by the software's to achieve these functionalities are compression and error checking. Compression is for speed and error checking is for reliability. If data is sent in compressed form, one can achieve a great speed as well as reliable ity and a decreased cost, Compression includes data text and image compression. All these compression techniques are different from each other but all of them have same basic concepts for compression. Many image compression techniques do compress the images to a great extent but reduces the image quality. This project was to make a similar image compression algorithm that can compress an image without reducing its quality. The basic method used in this algorithm for compression of images was data redundancy that is a common technique in compression algorithms. The algorithms searches for boxes and compress each box individually, it searches for same bits in the boxes and eliminate them resulting in a compressed box en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries MS(CS);T-225
dc.subject Image Format en_US
dc.subject Optimized Image Format en_US
dc.title An Optimized Image Format. en_US
dc.type Thesis en_US


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