Creating high quality photos from photos taken from low quality devices
Low-resolution images can be enhanced to become higher-resolution images by carrying out weighted interpolation in image processing. Image quality can also be preserved during image amplification via up-sampling or image interpolation. High-resolution images have higher pixel-count and will appear t...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/71145 |
| _version_ | 1826128963751116800 |
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| author | Tan, Daphne Wan Ting |
| author2 | Lim Yong Ching |
| author_facet | Lim Yong Ching Tan, Daphne Wan Ting |
| author_sort | Tan, Daphne Wan Ting |
| collection | NTU |
| description | Low-resolution images can be enhanced to become higher-resolution images by carrying out weighted interpolation in image processing. Image quality can also be preserved during image amplification via up-sampling or image interpolation. High-resolution images have higher pixel-count and will appear to be sharper, clearer and visually desirable. Nonetheless, for every method of interpolation, limitations are bound to exist.
This report explores the fundamental methods of interpolation, and focuses in experimenting with Nearest-Neighbour Interpolation (NNI), Average Interpolation (AI) and Sharpening Interpolation (SI) on images. Observational analysis and comparison will be made with reference to the output images. |
| first_indexed | 2024-10-01T07:33:05Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/71145 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:33:05Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/711452023-07-07T16:21:31Z Creating high quality photos from photos taken from low quality devices Tan, Daphne Wan Ting Lim Yong Ching School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Low-resolution images can be enhanced to become higher-resolution images by carrying out weighted interpolation in image processing. Image quality can also be preserved during image amplification via up-sampling or image interpolation. High-resolution images have higher pixel-count and will appear to be sharper, clearer and visually desirable. Nonetheless, for every method of interpolation, limitations are bound to exist. This report explores the fundamental methods of interpolation, and focuses in experimenting with Nearest-Neighbour Interpolation (NNI), Average Interpolation (AI) and Sharpening Interpolation (SI) on images. Observational analysis and comparison will be made with reference to the output images. Bachelor of Engineering 2017-05-15T06:05:46Z 2017-05-15T06:05:46Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71145 en Nanyang Technological University 68 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Tan, Daphne Wan Ting Creating high quality photos from photos taken from low quality devices |
| title | Creating high quality photos from photos taken from low quality devices |
| title_full | Creating high quality photos from photos taken from low quality devices |
| title_fullStr | Creating high quality photos from photos taken from low quality devices |
| title_full_unstemmed | Creating high quality photos from photos taken from low quality devices |
| title_short | Creating high quality photos from photos taken from low quality devices |
| title_sort | creating high quality photos from photos taken from low quality devices |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/71145 |
| work_keys_str_mv | AT tandaphnewanting creatinghighqualityphotosfromphotostakenfromlowqualitydevices |