Research Article
Key-Frame Detection and Super-Resolution of Hyperspectral Video via Sparse-Based Cumulative Tensor Factorization
Table 2
SR quantitative results (entropy and average gradient) of the test methods on key-frames.
| Methods | LR frame | Bicubic interpolation | Sparse representation-based SR [54] | Sequence information-based SR [65] | STTF-based SR | Frame | Entropy | Average gradient | Entropy | Average gradient | Entropy | Average gradient | Entropy | Average gradient | Entropy | Average gradient |
| 14 | 5.1603 | 0.0076 | 5.3744 | 0.0052 | 5.4996 | 0.0078 | 5.4259 | 0.0090 | 5.6098 | 0.0121 | 15 | 4.7086 | 0.0077 | 5.1407 | 0.0063 | 5.2398 | 0.0089 | 5.2184 | 0.0103 | 5.3678 | 0.0139 | 16 | 5.5521 | 0.0084 | 5.8013 | 0.0060 | 5.8765 | 0.0085 | 5.8203 | 0.0103 | 5.9772 | 0.0135 | 17 | 5.5293 | 0.0086 | 5.7054 | 0.0056 | 5.7918 | 0.0081 | 5.6125 | 0.0094 | 5.8831 | 0.0129 | 18 | 4.2989 | 0.0072 | 4.8339 | 0.0062 | 4.9794 | 0.0088 | 5.0423 | 0.0106 | 5.1108 | 0.0138 | 19 | 4.4843 | 0.0073 | 5.0045 | 0.0063 | 5.1327 | 0.0089 | 5.1831 | 0.0106 | 5.2644 | 0.0140 | 20 | 5.1442 | 0.0075 | 5.4307 | 0.0060 | 5.5039 | 0.0086 | 5.3987 | 0.0099 | 5.6122 | 0.0137 | 21 | 4.8821 | 0.0071 | 5.2234 | 0.0060 | 5.3264 | 0.0086 | 5.2578 | 0.0100 | 5.4491 | 0.0137 | 22 | 4.3472 | 0.0067 | 4.8929 | 0.0065 | 4.9858 | 0.0090 | 4.9409 | 0.0102 | 5.1261 | 0.0141 | 23 | 4.6127 | 0.0067 | 5.0430 | 0.0061 | 5.1534 | 0.0086 | 5.0806 | 0.0098 | 5.2823 | 0.0135 | 24 | 4.4189 | 0.0064 | 4.8688 | 0.0060 | 4.9850 | 0.0085 | 4.8916 | 0.0096 | 5.1168 | 0.0133 | 25 | 4.3273 | 0.0066 | 4.9091 | 0.0066 | 5.0061 | 0.0091 | 4.9607 | 0.0103 | 5.1494 | 0.0143 | 26 | 4.1394 | 0.0064 | 4.7589 | 0.0066 | 4.8438 | 0.0090 | 4.8078 | 0.0103 | 4.9919 | 0.0141 | 27 | 4.1127 | 0.0065 | 4.6995 | 0.0066 | 4.7878 | 0.0091 | 4.7713 | 0.0104 | 4.9366 | 0.0142 | 28 | 3.9657 | 0.0061 | 4.6576 | 0.0066 | 4.7467 | 0.0091 | 4.7507 | 0.0107 | 4.8902 | 0.0142 | 29 | 4.1885 | 0.0063 | 4.7545 | 0.0064 | 4.8611 | 0.0088 | 4.8481 | 0.0101 | 5.0066 | 0.0137 | 30 | 3.9672 | 0.0063 | 4.6345 | 0.0067 | 4.7253 | 0.0092 | 4.7241 | 0.0106 | 4.8752 | 0.0144 | 31 | 3.9440 | 0.0061 | 4.6135 | 0.0065 | 4.7131 | 0.0090 | 4.7349 | 0.0104 | 4.8654 | 0.0141 | 32 | 3.8661 | 0.0060 | 4.5799 | 0.0064 | 4.6914 | 0.0088 | 4.6971 | 0.0101 | 4.8497 | 0.0138 | 33 | 4.0479 | 0.0060 | 4.7100 | 0.0064 | 4.8126 | 0.0088 | 4.8114 | 0.0100 | 4.9631 | 0.0137 | 34 | 4.1691 | 0.0060 | 4.7824 | 0.0066 | 4.8621 | 0.0088 | 4.8462 | 0.0102 | 5.0072 | 0.0136 | 35 | 4.0933 | 0.0062 | 4.7169 | 0.0067 | 4.8010 | 0.0091 | 4.8245 | 0.0108 | 4.9515 | 0.0143 | 36 | 3.9157 | 0.0063 | 4.5995 | 0.0067 | 4.6881 | 0.0092 | 4.6712 | 0.0103 | 4.8508 | 0.0142 | 37 | 3.7810 | 0.0059 | 4.5028 | 0.0064 | 4.6088 | 0.0089 | 4.5984 | 0.0100 | 4.7666 | 0.0138 | 38 | 3.8814 | 0.0061 | 4.5479 | 0.0065 | 4.6483 | 0.0090 | 4.6395 | 0.0101 | 4.8050 | 0.0140 | 39 | 4.3168 | 0.0060 | 4.8397 | 0.0061 | 4.9406 | 0.0084 | 4.9135 | 0.0099 | 5.0792 | 0.0130 | 40 | 3.9333 | 0.0061 | 4.6597 | 0.0067 | 4.7380 | 0.0091 | 4.7209 | 0.0104 | 4.8906 | 0.0142 | 41 | 4.2009 | 0.0063 | 4.7897 | 0.0066 | 4.8711 | 0.0089 | 4.8346 | 0.0102 | 5.0138 | 0.0138 | 42 | 4.1083 | 0.0063 | 4.7514 | 0.0067 | 4.8362 | 0.0091 | 4.8398 | 0.0103 | 4.9836 | 0.0142 | 43 | 4.0485 | 0.0063 | 4.6827 | 0.0067 | 4.7602 | 0.0091 | 4.7117 | 0.0101 | 4.9109 | 0.0142 | 44 | 4.0521 | 0.0062 | 4.6510 | 0.0063 | 4.7587 | 0.0087 | 4.7273 | 0.0097 | 4.9165 | 0.0136 | 45 | 4.3442 | 0.0060 | 4.9011 | 0.0061 | 5.0079 | 0.0085 | 4.9380 | 0.0097 | 5.1413 | 0.0134 | 46 | 4.0006 | 0.0061 | 4.5913 | 0.0062 | 4.7080 | 0.0087 | 4.6467 | 0.0097 | 4.8587 | 0.0136 | 47 | 4.4749 | 0.0062 | 5.0109 | 0.0060 | 5.1015 | 0.0084 | 5.0007 | 0.0095 | 5.2302 | 0.0131 | 48 | 4.0685 | 0.0065 | 4.6843 | 0.0065 | 4.7859 | 0.0090 | 4.7607 | 0.0101 | 4.9384 | 0.0141 | Avg. | 4.3167 | 0.0066 | 4.8671 | 0.0063 | 4.9651 | 0.0088 | 4.9329 | 0.0101 | 5.1049 | 0.0138 |
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