Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/455456
Title: | Novel filtering methods to improve noise Reduction in digital color images |
Researcher: | Chukka Demudu Naidu |
Guide(s): | S Pallam Setty and M James Stephen |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | Andhra University |
Completed Date: | 2022 |
Abstract: | The key interest of this thesis is to develop random valued impulse noise reduction methods for digital color images. The conventionally used vector median and directional the most essential pixels at right angles to the test pixel. This approach overcomesthe problem of color artifacts arising due to joint processing of pixels.As a result of the correlation maintaining characteristic of these filters, the smoothing applied to one colour component smears into the others, creatingcolour artefacts inside the test pixel. This thesis presents a unique approachfor separating the joint vector pixels and performing median filtering on just filters process the pixel vector jointly in the red,green and blue intensities of a centre test pixel in a chosen window of pixels. newline newline |
Pagination: | 286 |
URI: | http://hdl.handle.net/10603/455456 |
Appears in Departments: | Department of Computer Science & Systems Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 158.15 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 240.91 kB | Adobe PDF | View/Open | |
03_content.pdf | 161.85 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 133.37 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 330.1 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 303.16 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 402.7 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 460.74 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.03 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 496.33 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.18 MB | Adobe PDF | View/Open |
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