Title | ||
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No reference image quality metric via distortion identification and multi-channel label transfer |
Abstract | ||
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In this paper, we propose a no reference image quality assessment (NR-IQA) algorithm based on distortion identification (DI) and multi-channel label transfer (LT). First, the distortion type classification is used to obtain the query image's probabilities of belonging to each distortion type. Then, the distortion specific label transfer is implemented in multiple distortion category channels. Based on the hypothesis that the similar images share the similar subjective qualities, the label transfer predicts the subjective quality of the query image by pooling the labels of its k-nearest neighbors (KNN) retrieved from the annotated samples. A weighting average of the multi-channel label transfer's outputs is computed to obtain the final perceptual quality score. The weight is the query image's probability that belongs to the corresponding distortion type. The experimental results show that the proposed method outperforms representative NR-IQA approaches and some full-reference metrics. |
Year | DOI | Venue |
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2014 | 10.1109/ISCAS.2014.6865189 | ISCAS |
Keywords | Field | DocType |
nr-iqa algorithm,reference image quality metric,k-nearest neighbors,multiple distortion category channel,image processing,perceptual quality score,learning (artificial intelligence),knn,multichannel label transfer output,distortion identification,query image probability,no reference image quality assessment algorithm,distortion specific label transfer,image classification,image retrieval,label pooling,subjective quality,probability,distortion type classification | Quality Score,Feature detection (computer vision),Pattern recognition,Computer science,Pooling,Reference image,Image quality,Communication channel,Artificial intelligence,A-weighting,Distortion | Conference |
ISSN | Citations | PageRank |
0271-4302 | 2 | 0.37 |
References | Authors | |
6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qingbo Wu | 1 | 399 | 39.78 |
Hongliang Li | 2 | 1833 | 101.92 |
King Ngi Ngan | 3 | 2383 | 185.21 |
B Zeng | 4 | 1374 | 159.35 |
Moncef Gabbouj | 5 | 3282 | 386.30 |