Estimation of higher order statistical parameters for image enhancement on pure and nano-dispersed dodecyloxyBenzoic acid

References

• Mukhyalo L, Pinkevych I. Influence of anchoring at a nematic cell surface on threshold spatially periodic reorientation of a director. Liq.Cryst. 2007;34:577–583.
   Web of Science ®Google Scholar
• Fumaiki L, Inoue KI, Toshima N, et al. Reduction of the Threshold Voltages of Nematic Liquid Crystal Electrooptical Devices by Doping Inorganic Nanoparticles. Jpn J ApplPhys. 2007;46:L796–L797.
   Web of Science ®Google Scholar
• Qi H, Hegmann T. Impact of nanoscale particles and carbon nanotubes on current and future generations of liquid crystal displays. J Mater Chem. 2008;18:3288–3294.
   Web of Science ®Google Scholar
• Collings PJ. Liquid crystals: nature’s delicate phase of matter. Bristol: Adam Hilger; 1990.
   Google Scholar
• Bisoyi HK, Kumar S. Liquid-crystal nano science: an emerging avenue of soft self- assembly. Chem Soc Rev. 2011;40:306–319.
   PubMed Web of Science ®Google Scholar
• Dierking I. From colloids in liquid crystals to colloidal liquid crystals. Liq Cryst. 2019;46(13–14):2057–2074.
   Web of Science ®Google Scholar
• Pushpavathi N, Sandhya KL, Pratibha R. Photoluminescence and electrical conductivity measurement of liquid crystal doped with ZnO nanoparticles. Liq Cryst. 2019;46(5):666–673.
   Web of Science ®Google Scholar
• Martinez-Felipe A, Cook AG, Wallage MJ, et al. Hydrogen bonding and liquid crystallinity of low molar mass and polymeric mesogens containing benzoic acids: a variable temperature Fourier transform infrared spectroscopic. Phase Transitions. 2014;87(12):1191–1210.
   Web of Science ®Google Scholar
• Kumar S. Discotic-functionalized nanomaterials. Synth React Inorg Met Org Nano Met Chem. 2007;37:327–331.
   Web of Science ®Google Scholar
• Hegmann T, Qi H, Marx VM. Nanoparticles in liquid crystals: synthesis, self-assembly, defect formation and potential applications. J Int Org Organomet Polym Mater. 2007;17:483–508.
   Web of Science ®Google Scholar
• Khushboo, Sharma P, Malik P, et al. Textural, thermal, optical and electrical properties of iron nanoparticles dispersed 4′-(Hexyloxy)-4- biphenyl carbonitrile liquid crystal mixture. Liq Cryst. 2017;44:1717.
   Web of Science ®Google Scholar
• Pal K, Thomas S, Mohan ML. Evaluation of versatile CdS nanomaterials based liquid crystals switchable device. J Nanosci Nanotechnol. 2017;17:2401.
   PubMed Web of Science ®Google Scholar
• Lee W, Wang CY, Shih YC. Effects of carbon nano solids on the electro optical properties of a twisted nematic liquid-crystal host. Appl Phys Lett. 2004;85:513.
   Web of Science ®Google Scholar
• Kaur S, Singh SP, Biradar AM, et al. Enhanced electro-optical properties in gold nanoparticles doped ferroelectric liquid crystals. Appl Phys Lett. 2007;91:023120.
   Web of Science ®Google Scholar
• Sikharulidze D. Nanoparticles: an approach to controlling an electro-optical behavior of nematic liquid crystals. Appl Phys Lett. 2005;86:033507.
   Web of Science ®Google Scholar
• Celik T, Li H-C. Residual spatial entropy-based contrast enhancement and gradient-based contrast measures. J Mod Opt. 2016;63(16):1600–1617.
   Web of Science ®Google Scholar
• Huang S-C, Cheng F-C, Chiu Y-S. Efficient contrast enhancement with adaptive gamma correction. IEEE Trans Image Process. 2013;22(3):1032–1041.
   PubMed Web of Science ®Google Scholar
• Pardhasaradhi P, Madhav BTP, Tripathi DP, et al. Synthesis, characterisation and SPIE analysis in pure and nano-dispersed N-(p-n-hexyloxybenzylidene)-p-n-Nonyloxy aniline. Liq Cryst. 2019;46(5):743–753.
   Web of Science ®Google Scholar
• Mukherjee J, Mitra SK. Enhancement of color images by scaling the DCT coefficients. IEEE Trans Image Process. 2008;17(10):1783–1794.
   PubMed Web of Science ®Google Scholar
• Tang J, Peli E, Acton S. Image enhancement using a contrast measure in the compressed domain. IEEE Sig Process Lett. 2003;10(10):289–292.
   Web of Science ®Google Scholar
• Cheng H, Shi X. A simple and effective histogram equalization approach to image enhancement. Digital Signal Process. 2004;14(2):158–170.
   Web of Science ®Google Scholar
• Kim Y-T. Contrast enhancement using brightness preserving bi-histogram equalization. Consum Electron IEEE Trans. 1997;43(1):1–8.
   Web of Science ®Google Scholar
• Wang Y, Chen Q, Zhang B. Image enhancement based on equal area dualistic sub-image histogram equalization method. Consum Electron IEEE Trans. 1999;45(1):68–75.
   Web of Science ®Google Scholar
• Abdullah-Al-Wadud M, Hasanul Kabir M, Ali Akber Dewan M, et al. A dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electron. 2007 May;53(2):593–600.
   Web of Science ®Google Scholar
• Ibrahim H, Kong NSP. Brightness preserving dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electron. 2007 Nov;53(4):1752–1758.
   Web of Science ®Google Scholar
• Demirel H, Anbarjafari G, Jahromi MNS. Image equalization based on singular value decomposition. Proc. 23rd IEEE Int. Symp. Comput. Inf. Sci.; Istanbul, Turkey; Oct 2008, p. 1–5.
   Google Scholar
• Demirel H, Ozcinar C, Anbarjafari G. Satellite image contrast enhancement using discrete wavelet transform and singular value decomposition. IEEE Geosci Remote Sens Lett. 2010;7:333–337.
   Web of Science ®Google Scholar
• Bhandari AK, Kumar A, Padhy PK. Enhancement of low contrast satellite images using discrete cosine transform and singular value decomposition. World Acad Sci Eng Technol. 2011;55:35–41.
   Google Scholar
• Jayaprada P, Tejaswi M, Giridhar G, et al. Synthesis and characterization of schiff base liquid crystals with dispersed zno  nanoparticles-optical properties. Rasayana J Chem. 2016;9:588–596. ISSN: 0974-1496.
   Google Scholar
• Panetta K, Agaian S, Zhou Y, et al. Parameterized logarithmic framework for image enhancement. IEEE Trans Syst Manuf Cybern. 2011;41:460–473.
   Web of Science ®Google Scholar
• Jaya VL, Gopikakumari R. IEM: a new image enhancement metric for contrast and sharpness measurements. Int J Comput Appl. 2013;79:1–9.
   Google Scholar
• Wharton E, Agaian S, Panetta K. Comparative study of logarithmic enhancement algorithms with performance measure. Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, San Jose, California, United States; 2006 Feb 17; p. 606412.
   Google Scholar