No-Reference Quality Assessment Method of Evaluating Scanning Electron Microscopy Images Based on Multi-Scale Characteristics

Qiaoyue Li; Gangcheng Shang; Qiang Tian; Xi Chen; Xixi Han; Yu Zhou; Leida Li

doi:10.3788/LOP55.111005

[1] Xue X B, Yu M, He M L. Stereoscopic image-quality-assessment method based on visual cell model[J]. Laser & Optoelectronics Progress, 53, 041004(2016).

[2] Sheikh H R, Sabir M F, Bovik A C. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Transactions on Image Processing, 15, 3440-3451(2006). http://europepmc.org/abstract/MED/17076403

[3] Zhang L, Zhang L, Mou X Q et al. FSIM: a feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 20, 2378-2386(2011). http://ieeexplore.ieee.org/document/5705575/

[4] Xue W F, Zhang L, Mou X Q et al. Gradient magnitude similarity deviation: a highly efficient perceptual image quality index[J]. IEEE Transactions on Image Processing, 23, 684-695(2014). http://dl.acm.org/citation.cfm?id=2712269

[5] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004). http://europepmc.org/abstract/MED/15376593

[6] Wang Z, Simoncelli E P, Bovik A C. Multiscale structural similarity for image quality assessment. [C]∥Proceedings of IEEE Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, 2, 1398-1402(2003).

[7] Wang S Q, Ma K D, Yeganeh H et al. A patch-structure representation method for quality assessment of contrast changed images[J]. IEEE Signal Processing Letters, 22, 2387-2390(2015). http://ieeexplore.ieee.org/document/7289355/

[8] Fang Y M, Ma K D, Wang Z et al. No-reference quality assessment of contrast-distorted images based on natural scene statistics[J]. IEEE Signal Processing Letters, 22, 838-842(2014). http://ieeexplore.ieee.org/document/6963354

[9] Mittal A, Soundararajan R, Bovik A C. Making a“completely blind” image quality analyzer[J]. IEEE Signal Processing Letters, 20, 209-212(2013). http://ieeexplore.ieee.org/document/6353522/

[10] Zhang Y, Chandler D M. No-reference image quality assessment based on log-derivative statistics of natural scenes[J]. Journal of Electronic Imaging, 22, 043025(2013). http://spie.org/Publications/Journal/10.1117/1.JEI.22.4.043025

[11] Romeny B M H. Front-end vision and multi-scale image analysis: multi-scale computer vision theory and applications, written in mathematica[M]. New York: Springer Science & Business Media, 1-177(2008).

[12] Nercessian S C, Panetta K A, Agaian S S. Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system[J]. IEEE Transactions on Image Processing, 22, 3549-3561(2013). http://ieeexplore.ieee.org/document/6514881/

[13] Marĉelja S. Mathematical description of the responses of simple cortical cells[J]. Journal of the Optical Society of America, 70, 1297-1300(1980). http://europepmc.org/abstract/med/7463179

[14] Yang Z T, Ruan P, Zhai B. Auto-exposure algorithm for scenes with high dynamic range based on image entropy[J]. Acta Photonica Sinica, 42, 742-746(2013).

[15] Narwaria M, Lin W S. SVD-based quality metric for image and video using machine learning[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42, 347-364(2012). http://ieeexplore.ieee.org/document/6031933/

[16] Video Quality Experts Group[2018-04-16]. Final report from the Video Quality Experts Group on the validation of objective models of video quality assessment, Phase II (FR_TV2) [2018-04-16].http:∥www.vqeg.org/(2003).

[17] Li L D, Xia W H, Lin W S et al. No-reference and robust image sharpness evaluation based on multiscale spatial and spectral features[J]. IEEE Transactions on Multimedia, 19, 1030-1040(2017). http://ieeexplore.ieee.org/document/7784707

[18] Ye P, Kumar J, Kang L et al. Unsupervised feature learning framework for no-reference image quality assessment. [C]∥Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1098-1105(2012).

[19] Moorthy A K, Bovik A C. A two-step framework for constructing blind image quality indices[J]. IEEE Signal Processing Letters, 17, 513-516(2010). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=5432998

[20] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Transactions on Image Processing, 21, 4695-4708(2012). http://www.ncbi.nlm.nih.gov/pubmed/22910118/

[21] Moorthy A K, Bovik A C. Blind image quality assessment: from natural scene statistics to perceptual quality[J]. IEEE Transactions on Image Processing, 20, 3350-3364(2011). http://ieeexplore.ieee.org/document/5756237/

[22] Saad M A, Bovik A C, Charrier C. Blind image quality assessment:a natural scene statistics approach in the DCT domain[J]. IEEE Transactions on Image Processing, 21, 3339-3352(2012). http://www.ncbi.nlm.nih.gov/pubmed/22453635

[23] Liu L X, Liu B, Huang H et al. No-reference image quality assessment based on spatial and spectral entropies[J]. Signal Processing: Image Communication, 29, 856-863(2014). http://www.sciencedirect.com/science/article/pii/S0923596514000927

[24] Xue W F, Zhang L, Mou X Q. Learning without human scores for blind image quality assessment. [C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 995-1002(2013).