No-reference image quality metric based on image classification
<p>Abstract</p> <p>In this article, we present a new no-reference (NR) objective image quality metric based on image classification. We also propose a new blocking metric and a new blur metric. Both metrics are NR metrics since they need no information from the original image. The...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2011-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://asp.eurasipjournals.com/content/2011/1/65 |
| _version_ | 1828553868347179008 |
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| author | Choi Hyunsoo Lee Chulhee |
| author_facet | Choi Hyunsoo Lee Chulhee |
| author_sort | Choi Hyunsoo |
| collection | DOAJ |
| description | <p>Abstract</p> <p>In this article, we present a new no-reference (NR) objective image quality metric based on image classification. We also propose a new blocking metric and a new blur metric. Both metrics are NR metrics since they need no information from the original image. The blocking metric was computed by considering that the visibility of horizontal and vertical blocking artifacts can change depending on background luminance levels. When computing the blur metric, we took into account the fact that blurring in edge regions is generally more sensitive to the human visual system. Since different compression standards usually produce different compression artifacts, we classified images into two classes using the proposed blocking metric: one class that contained blocking artifacts and another class that did not contain blocking artifacts. Then, we used different quality metrics based on the classification results. Experimental results show that each metric correlated well with subjective ratings, and the proposed NR image quality metric consistently provided good performance with various types of content and distortions.</p> |
| first_indexed | 2024-12-12T05:26:04Z |
| format | Article |
| id | doaj.art-e1e5610a9e9f4e7b8118b2784e3c51f1 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-12T05:26:04Z |
| publishDate | 2011-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-e1e5610a9e9f4e7b8118b2784e3c51f12022-12-22T00:36:27ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-012011165No-reference image quality metric based on image classificationChoi HyunsooLee Chulhee<p>Abstract</p> <p>In this article, we present a new no-reference (NR) objective image quality metric based on image classification. We also propose a new blocking metric and a new blur metric. Both metrics are NR metrics since they need no information from the original image. The blocking metric was computed by considering that the visibility of horizontal and vertical blocking artifacts can change depending on background luminance levels. When computing the blur metric, we took into account the fact that blurring in edge regions is generally more sensitive to the human visual system. Since different compression standards usually produce different compression artifacts, we classified images into two classes using the proposed blocking metric: one class that contained blocking artifacts and another class that did not contain blocking artifacts. Then, we used different quality metrics based on the classification results. Experimental results show that each metric correlated well with subjective ratings, and the proposed NR image quality metric consistently provided good performance with various types of content and distortions.</p>http://asp.eurasipjournals.com/content/2011/1/65no-referenceimage quality metricblockingblurhuman visual sensitivity |
| spellingShingle | Choi Hyunsoo Lee Chulhee No-reference image quality metric based on image classification EURASIP Journal on Advances in Signal Processing no-reference image quality metric blocking blur human visual sensitivity |
| title | No-reference image quality metric based on image classification |
| title_full | No-reference image quality metric based on image classification |
| title_fullStr | No-reference image quality metric based on image classification |
| title_full_unstemmed | No-reference image quality metric based on image classification |
| title_short | No-reference image quality metric based on image classification |
| title_sort | no reference image quality metric based on image classification |
| topic | no-reference image quality metric blocking blur human visual sensitivity |
| url | http://asp.eurasipjournals.com/content/2011/1/65 |
| work_keys_str_mv | AT choihyunsoo noreferenceimagequalitymetricbasedonimageclassification AT leechulhee noreferenceimagequalitymetricbasedonimageclassification |