[1] Bang S, Kim H, Kim H. UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching[J]. Automation in Construction, 84, 70-80(2017). http://www.sciencedirect.com/science/article/pii/S0926580517301929

[2] Chen H X, Duan M J. Clinical application and value analysis of digital radiography (DR) image stitching technique in orthopedics[J]. Journal of Imaging Research and Medical Applications, 2, 46-47(2018).

[3] Gao L L, Liu J J, Ren X et al. Image quality evaluation of panoramic camera steropair based on structural similarity[J]. Laser & Optoelectronics Progress, 51, 071004(2014).

[4] Zhao T, Kang H L, Zhang Z P. Fast image mosaic algorithm based on area blocking and BRISK[J]. Laser & Optoelectronics Progress, 55, 031005(2018).

[5] Wu W S, Feng H J, Xu Z H et al. Optical image mosaic methods based on MEMS gyroscope[J]. Acta Photonica Sinica, 47, 0310001(2018).

[6] Paalanen P, Kämäräinen J K, Kälviäinen H. Image based quantitative mosaic evaluation with artificial video. [C]∥Scandinavian Conference on Image Analysis (SCIA), 470-479(2009).

[7] Xu W, Mulligan J. Performance evaluation of color correction approaches for automatic multi-view image and video stitching. [C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 263-270(2010).

[8] Cheung G, Yang L Y, Tan Z G et al. A content-aware metric for stitched panoramic image quality assessment. [C]∥IEEE International Conference on Computer Vision Workshops (ICCVW), 2487-2494(2017).

[9] Qureshi H S, Khan M M, Hafiz R et al. Quantitative quality assessment of stitched panoramic images[J]. IET Image Processing, 6, 1348-1358(2012). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6407295

[10] Chang C C, Lin C J. LIBSVM: a library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2, 1-27(2011). http://dl.acm.org/citation.cfm?doid=1961189.1961199

[11] Kim S J, Pollefeys M. Robust radiometric calibration and vignetting correction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 562-576(2008). http://ieeexplore.ieee.org/abstract/document/4359347/

[12] Zhou M, Jin K, Wang S Z et al. Color retinal image enhancement based on luminosity and contrast adjustment[J]. IEEE Transactions on Biomedical Engineering, 65, 521-527(2018). http://europepmc.org/abstract/MED/28475043

[13] Fecker U, Barkowsky M, Kaup A. Histogram-based prefiltering for luminance and chrominance compensation of multiview video[J]. IEEE Transactions on Circuits and Systems for Video Technology, 18, 1258-1267(2008). http://ieeexplore.ieee.org/document/4539698/

[14] He L, Qi H R, Zaretzki R. Image color transfer to evoke different emotions based on color combinations[J]. Signal, Image and Video Processing, 9, 1965-1973(2015). http://link.springer.com/article/10.1007/s11760-014-0691-y

[15] Reinhard E, Adhikhmin M, Gooch B et al. Color transfer between images[J]. IEEE Computer Graphics and Applications, 21, 34-41(2001).

[16] Xiao X, Ma L. Color transfer in correlated color space. [C]∥ACM International Conference on Virtual Reality Continuum and its Applications (VRCIA), 305-309(2006).

[17] Chang C H, Sato Y, Chuang Y Y. Shape-preserving half-projective warps for image stitching. [C]∥IEEE Conference on Computer Vision and Pattern Recognition (CCVPR), 3254-3261(2014).

[19] Zhang Y J, Li S M, Wei J J et al. Subjective quality evaluation method of stereo image[J]. Acta Photonica Sinica, 41, 602-607(2012).

[20] Seshadrinathan K, Soundararajan R, Bovik A C et al. Study of subjective and objective quality assessment of video[J]. IEEE Transactions on Image Processing, 19, 1427-1441(2010). http://europepmc.org/abstract/MED/20129861

[21] Li L D, Xia W H, Fang Y M et al. Color image quality assessment based on sparse representation and reconstruction residual[J]. Journal of Visual Communication and Image Representation, 38, 550-560(2016). http://dl.acm.org/citation.cfm?id=2950902

[22] Chang H W, Yang H, Gan Y et al. Sparse feature fidelity for perceptual image quality assessment[J]. IEEE Transactions on Image Processing, 22, 4007-4018(2013). http://ieeexplore.ieee.org/document/6525380/

[23] 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://dl.acm.org/citation.cfm?id=2333845

[24] Chu J, Chen Q, Yang X C. Review on full reference image quality assessment algorithms[J]. Application Research of Computers, 31, 13-22(2014).

[25] Yang C C, Kwok S H. Efficient gamut clipping for color image processing using LHS and YIQ[J]. Optical Engineering, 42, 701-711(2003). http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=OPEGAR000042000003000701000001&idtype=cvips&gifs=Yes

[26] Liu C, Yuen J, Torralba A. SIFT flow: dense correspondence across scenes and its applications[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 978-994(2011). http://rd.springer.com/chapter/10.1007/978-3-319-23048-1_2

[27] Schölkopf B, Platt J, Hofmann T. Graph-based visual saliency. [C]∥International Conference on Neural Information Processing Systems (NIPS), 545-552(2006).

[28] Zhang L, Shen Y, Li H Y. VSI: a visual saliency-induced index for perceptual image quality assessment[J]. IEEE Transactions on Image Processing, 23, 4270-4281(2014). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6873260

[29] Geusebroek J M, van den Boomgaard R, Smeulders A W M et al. . Color invariance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 1338-1350(2001).

[30] Geusebroek J M, van den Boomgaard R, Smeulders A W M et al. . Color and scale: the spatial structure of color images. [C]∥European Conference on Computer Vision (ECCV), 331-341(2000).