Abstract
The present era is called the digital age that employs and utilizes digital signals in various fields like medical, defense, education, industry, entertainment, research, and many more. Undoubtedly images, among different signals, possess a wide application area. In most cases, the digital images are acquired through any optical image acquisition system that utilizes visible wavelengths, infrareds, and microwaves. In some cases, radiography (viz. X-rays, computed tomography), sound waves (viz. ultrasonography), electromagnetic waves (magnetic resonance imaging), electrons (charged coupled devices, scanning electron microscope), etc., are being utilized for visualizing the objects that resist the passing of visible wavelengths. However, there is a technical limitation of these imaging devices that limits the spatial resolution of captured frames. The point spread function and sampling rate control the image’s spatial resolution which further depends on the number of sensor elements.
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References
Damyanov D, Batra A, Friederich B, Kaiser T, Schultze T, Balzer JC (2020) High-resolution long-range THz imaging for tunable continuous-wave systems. IEEE Access 8:151997–152007
Taylor, Z.D. et al. (2015) THzandmm-wavesensingofcornealtissuewatercontent: invivosensingandimagingresults. IEEETrans. THzSci.Technol. 5, 184–196.
Tseng T-F et al (2015) Near-field sub-THztransmission-typeimage systemforvesselimagingin-vivo. Opt Express 23:25058–25071
Lim YL et al (2014) High-contrastcoherentterahertzimagingofporcine tissueviaswept-frequencyfeedbackinterferometry.Biomed. Opt Express 5:3981–3989
Wahaia F et al (2016) Terahertzabsorptionandreflectionimaging of carcinoma- affected colon tissues embedded in paraffin. J Mol Struct 1107:214–219
Brun MA et al (2010) Terahertz imaging applied to cancer diagnosis. Phys Med Biol 55:4615–4623
Bowman TC et al (2015) Terahertz imaging of excised breast tumor tissue on paraffin sections. IEEE Trans Antenn Propag 63:2088–2097
Peter BS et al (2013) Development and testing of a single frequency terahertz imaging system for breast cancer detection. IEEE Trans THzSci Technol. 3:374–386
Chen H et al (2011) Performance of THz fiber-scanning near-field microscopy to diagnose breast tumors. Opt Express 19:19523–19531
Nandi, D., Karmakar, J., Kumar, A., Mandal, M. K., Sparse represen- tation based multi-frame image super-resolution reconstruction using adaptive weighted features, IET Image Processing, 2019.
Wallace V, Fitzgerald A, Shankar S, Flanagan N, Pye R, Cluff J, Arnone DD (2004) Terahertz pulsed imaging of basal cell carcinoma ex vivo and in vivo. J Investigative Dermatol 151(2):424–432
Acknowledgements
This work is partially supported by DST/TDT/DDP-38/2021, Device Development Programme (DDP), by the Department of Science Technology (DST), Ministry of Science and Technology, Government of India.
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Karmakar, J., Samanta, D., Banerjee, A., Karthikeyan, M.P. (2023). Terahertz Image Processing: A Boon to the Imaging Technology. In: Chakraborty, B., Biswas, A., Chakrabarti, A. (eds) Advances in Data Science and Computing Technologies. ADSC 2022. Lecture Notes in Electrical Engineering, vol 1056. Springer, Singapore. https://doi.org/10.1007/978-981-99-3656-4_28
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DOI: https://doi.org/10.1007/978-981-99-3656-4_28
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