References

Boas, D.A. and A.K. Dunn, 2010. Laser speckle contrast imaging in biomedical optics. J. Biomed. Opt., 15: 1-12.
CrossRef  |  PubMed  |  Direct Link  |  

Briers, J.D. and S. Webster, 1996. Laser speckle contrast analysis (LASCA): A nonscanning, full-field technique for monitoring capillary blood flow. J. Biomed. Opt., 1: 174-179.
CrossRef  |  PubMed  |  Direct Link  |  

Briers, J.D., 2007. Laser speckle contrast imaging for measuring blood flow. Opt. Appl., 37: 139-152.
Direct Link  |  

Chen, D., J. Ren, Y. Wang, H. Zhao and B. Li et al., 2016. Relationship between the blood perfusion values determined by laser speckle imaging and laser doppler imaging in normal skin and port wine stains. Photodiagn. Photodyn. Ther., 13: 1-9.
CrossRef  |  PubMed  |  Direct Link  |  

Cho, A., C. Yeon, D. Kim and E. Chung, 2016. Laser speckle contrast imaging for measuring cerebral blood flow changes caused by electrical sensory stimulation. J. Opt. Soc. Korea, 20: 88-93.
CrossRef  |  Direct Link  |  

Dunn, A.K., 2012. Laser speckle contrast imaging of cerebral blood flow. Ann. Biomed. Eng., 40: 367-377.
CrossRef  |  PubMed  |  Direct Link  |  

Dunn, A.K., H. Bolay, M.A. Moskowitz and D.A. Boas, 2001. Dynamic imaging of cerebral blood flow using laser speckle. J. Cereb. Blood Flow Metab., 21: 195-201.
CrossRef  |  PubMed  |  Direct Link  |  

Elhannachi, S.A., N. Benamrane and T.A. Abdelmalik, 2017. Adaptive medical image compression based on lossy and lossless embedded zerotree methods. J. Inf. Proc. Syst., 13: 40-56.
CrossRef  |  Direct Link  |  

Georgiev, V.T., A.N. Karahaliou, S.G. Skiadopoulos, N.S. Arikidis and A.D. Kazantzi et al., 2013. Quantitative visually lossless compression ratio determination of JPEG2000 in digitized mammograms. J. Digital Imaging, 26: 427-439.
CrossRef  |  PubMed  |  Direct Link  |  

Gonzalez, R.C., R.E. Woods and S.L. Eddins, 2009. Digital Image Processing Using MATLAB. 2nd Edn., Tata McGraw-Hill Education, New Delhi, India, ISBN:9781259084072, Pages: 826.

Kim, D.H., H.J. Kim, C.L. Lee, H.M. Cho and H.S. Park et al., 2010. Comparison and evaluation of JPEG and JPEG2000 in medical images for CR (Computed Radiography). J. Korean Phys. Soc., 56: 856-862.
CrossRef  |  Direct Link  |  

Kivijarvi, J., T. Ojala, T. Kaukoranta, A. Kuba and L. Nyul et al., 1998. A comparison of lossless compression methods for medical images. Comput. Med. Imag. Graph., 22: 323-339.
CrossRef  |  Direct Link  |  

Kocsis, O., L. Costardidou, L. Varaki, C. Kalogeroulou and G. Panayiotakis, 2003. Compression assessment based on medical image quality concepts using computer generated test images. Comput. Methods Programs Biomed., 71: 105-115.
Direct Link  |  

Liu, F., M. Hernandez-Cabronero, V. Sanchez, M.W. Marcellin and A. Bilgin, 2017. The current role of image compression standards in medical imaging. Inf., 8: 1-26.
CrossRef  |  Direct Link  |  

Marques, O., 2011. Practical Image and Video Processing using MATLAB. Wiley Publishing Company, Hoboken, New Jersey, USA., ISBN:9781118093474, Pages: 696.

Mateika, D., R. Martavicius, 2007. Analysis of the compression ratio and quality in medical images. Inf. Technol. Control., 35: 419-423.
Direct Link  |  

Przelaskowski, A., 2004. The JPEG2000 standard for medical image applications. Task Quart., 8: 147-158.
Direct Link  |  

Rabbani, M. and R. Joshi, 2002. An overview of the JPEG 2000 still image compression standard. Signal Process. Image Commun., 17: 3-48.
CrossRef  |  Direct Link  |  

Ukrit, M.F., A. Umamageswari and D.G.R. Suresh, 2011. A survey on lossless compression for medical images. Int. J. Comput. Appl., 31: 47-50.
CrossRef  |  Direct Link  |  

Wallace, G.K., 1991. The JPEG still picture compression standard. Commun. ACM., 34: 30-44.
CrossRef  |  Direct Link  |  

Wang, Z., A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, 2004. Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process., 13: 600-612.
CrossRef  |  Direct Link  |