## 5 Conclusions
[CrossRef]
* (25) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] DCT-based color digital image blind watermarking method with variable steps. _Multimed. Tools Appl._**2020**, _79_, 30557-30581. [CrossRef]
* (26) [PERSON]; [PERSON]; [PERSON] Artificial bee colony based perceptually tuned blind color image watermarking in hybrid LWT-DCT domain. _Multimed. Tools Appl._**2021**, _80_, 18753-18785. [CrossRef]
* (27) [PERSON]; [PERSON] Unsupervised band selection based on weighted information entropy and 3D discrete cosine transform for hyperspectral image classification. _Int. J. Remote Sens._**2020**, _41_, 3948-3969. [CrossRef]
* (28) [PERSON]; [PERSON] [PERSON] A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency. _IEEE Signal Process. Lett._**2013**, _20_, 893-896. [CrossRef]
* (29) [PERSON]; [PERSON] [PERSON] A novel image quality assessment with globally and locally consilient visual quality perception. _IEEE Trans. Image Process._**2016**, _25_, 2392-2406. [CrossRef]
* (30) [PERSON]; [PERSON]; [PERSON] KNN-Based representation of superpixels for hyperspectral image classification. _IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens._**2018**, _11_, 4032-4047. [CrossRef]
* (31) [PERSON]; [PERSON]; [PERSON] Image quality assessment based on multi-feature extraction and synthesis with support vector regression. _Signal Process. Image Commun._**2017**, _54_, 81-92. [CrossRef]
* (32) [PERSON]; [PERSON]; [PERSON] Blind image quality assessment with the histogram sequences of high-order local derivative patterns. _Digat. Signal Process._**2016**, _55_, 1-12. [CrossRef]
* (33) [PERSON]; [PERSON] SVD-based quality metric for image and video using machine learning. _IEEE Trans. Syst. Man Cybern. B Cybern._**2012**, _42_, 347-364. [CrossRef]
* (34) [PERSON]; [PERSON] Image quality assessment using human visual DOG model fused with random forest. _IEEE Trans. Image Process._**2015**, _24_, 3282-3292. [CrossRef] [PubMed]
* (35) [PERSON]; [PERSON]; [PERSON] Land cover classification using Google Earth Engine and random forest classifier--The role of image composition. _Remote Sens._**2020**, _12_, 2411. [CrossRef]
* (36) [PERSON] A novel type of activation function in artificial neural networks: Trained activation function. _Neural Netw._**2018**, _99_, 148-157. [CrossRef] [PubMed]
* (37) [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Image database TID2013: Peculiarities, results and perspectives. _Signal Process. Image Commun._**2015**, \(1\), 55-77. [CrossRef]
* (38) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] TID2008: A database for evaluation of full-reference visual quality assessment metrics. _Adv. Mod. Radioelectron._**2009**, _10_, 30-45. * (39) [PERSON]; [PERSON]; [PERSON]; [PERSON] Perceptual image quality assessment by independent feature detector. _Neurocomputing_**2015**, _151_, 1142-1152. [CrossRef]
* (40) [PERSON]; [PERSON] Image quality measures and their performance. _IEEE Trans. Commun._**1995**, _43_, 2959-2965. [CrossRef]
* (41) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Application of image quality assessment module to motion-blurred wood images for wood species identification system. _Wood Sci. Technol._**2019**, _53_, 967-981. [CrossRef]
* (42) [PERSON] Visual-PSNR measure of image quality. _J. Vis. Commun. Image Represent._**2014**, _25_, 874-878. [CrossRef]
* (43) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] VIF-Net: An unsupervised framework for infrared and visible image fusion. _IEEE Trans. Comput. Imaging_**2020**, \(6\), 640-651. [CrossRef]
* (44) [PERSON]; [PERSON]; [PERSON] VSI: A visual saliency-induced index for perceptual image quality assessment. _IEEE Trans. Image Process._**2014**, _23_, 4270-4281. [CrossRef] [PubMed]  
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