| Type of Material: | Thesis |
| Title: | VIDEO PROCESSING FOR ENHANCEMENT OF QUALITY VIDEO |
| Researcher: | B.RAGHU |
| Guide: | M. RAJANI |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2011 |
| Language: | English |
| Subject: | Discrete wavelet transforms | Monochrome | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2011; D08CS016 |
| Fulltext: | Shodhganga |
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| 001 | 454529 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-18 10:01:37 | |
| 008 | __ | 240912t2011||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454529 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aB.RAGHU|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aVIDEO PROCESSING FOR ENHANCEMENT OF QUALITY VIDEO |
| 260 | __ | |c2011|aChennai|bBharath University, Chennai |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2011|oD08CS016 |
| 518 | __ | |oDate of Registration|d2007-12-03 |
| 520 | __ | |aImage processing is a physical process used to convert an image signal into a physical image. The image signal can be either digital or analog. The actual output itself can be an actual physical image or the characteristics of an image. The image processing involves in the logical process in detecting, identifying, classifying, measuring and evaluating the significance of physical and cultural objects, their patterns and spatial relationship. This thesis deals with these two necessary resolution factors which can be considered as multiresolution image which is taken with the facts of high resolution and the low resolution. The image size of each pixel must be decreased (higher resolution). The enlarged image will have fewer pixels per inch (lower resolution). Moreover it is concerned with the compression of color images; color texture is first quantized and transformed into a grey-scale texture image. The color variations were focusing on color fundamentals, including color management, gamut mapping, and co |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aDiscrete wavelet transforms |
| 653 | __ | |aMonochrome |
| 700 | __ | |aM. RAJANI|eGuide |
| 856 | __ | |yShodhganga|uhttp://shodhganga.inflibnet.ac.in/handle/10603/170885 |
| 905 | __ | |afromsg |
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