Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification
<p/> <p>A novel adaptive resolution upconversion algorithm that is robust to compression artifacts is proposed. This method is based on classification of local image patterns using both structure information and activity measure to explicitly distinguish pixels into content or coding art...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2007-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://asp.eurasipjournals.com/content/2007/071432 |
| _version_ | 1819183039870140416 |
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| author | Shao Ling |
| author_facet | Shao Ling |
| author_sort | Shao Ling |
| collection | DOAJ |
| description | <p/> <p>A novel adaptive resolution upconversion algorithm that is robust to compression artifacts is proposed. This method is based on classification of local image patterns using both structure information and activity measure to explicitly distinguish pixels into content or coding artifacts. The structure information is represented by adaptive dynamic-range coding and the activity measure is the combination of local entropy and dynamic range. For each pattern class, the weighting coefficients of upscaling are optimized by a least-mean-square (LMS) training technique, which trains on the combination of the original images and the compressed downsampled versions of the original images. Experimental results show that our proposed upconversion approach outperforms other classification-based upconversion and artifact reduction techniques in concatenation.</p> |
| first_indexed | 2024-12-22T22:55:41Z |
| format | Article |
| id | doaj.art-53da43fe3130478194bc38d6287454cb |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-22T22:55:41Z |
| publishDate | 2007-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-53da43fe3130478194bc38d6287454cb2022-12-21T18:09:50ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071071432Adaptive Resolution Upconversion for Compressed Video Using Pixel ClassificationShao Ling<p/> <p>A novel adaptive resolution upconversion algorithm that is robust to compression artifacts is proposed. This method is based on classification of local image patterns using both structure information and activity measure to explicitly distinguish pixels into content or coding artifacts. The structure information is represented by adaptive dynamic-range coding and the activity measure is the combination of local entropy and dynamic range. For each pattern class, the weighting coefficients of upscaling are optimized by a least-mean-square (LMS) training technique, which trains on the combination of the original images and the compressed downsampled versions of the original images. Experimental results show that our proposed upconversion approach outperforms other classification-based upconversion and artifact reduction techniques in concatenation.</p>http://asp.eurasipjournals.com/content/2007/071432 |
| spellingShingle | Shao Ling Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification EURASIP Journal on Advances in Signal Processing |
| title | Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification |
| title_full | Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification |
| title_fullStr | Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification |
| title_full_unstemmed | Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification |
| title_short | Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification |
| title_sort | adaptive resolution upconversion for compressed video using pixel classification |
| url | http://asp.eurasipjournals.com/content/2007/071432 |
| work_keys_str_mv | AT shaoling adaptiveresolutionupconversionforcompressedvideousingpixelclassification |