Search Results for author: Tanmoy Debnath

Found 6 papers, 1 papers with code

Efficient quantum image representation and compression circuit using zero-discarded state preparation approach

no code implementations22 Jun 2023 Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq, Tanmoy Debnath

The encoding of images for representation and compression in quantum systems is different from classical ones.

A novel state connection strategy for quantum computing to represent and compress digital images

no code implementations14 Dec 2022 Md Ershadul Haque, Manoranjan Paul, Tanmoy Debnath

Due to the twice use of Toffoli gates for each pixel connection still it requires a significant number of bits to connect each pixel value.

Position

Advance quantum image representation and compression using DCTEFRQI approach

no code implementations30 Aug 2022 Md Ershadul Haque, Manoranjon Paul, Anwaar Ulhaq, Tanmoy Debnath

Hilbert space or Euclidean space has infinite dimension to locate and process the image data faster.

MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features

1 code implementation30 Nov 2020 Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq, Manoranjan Paul, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D. M. Motiur Rahaman

As the primary contribution, this method correlates well to patient severity in different stages of disease progression with competitive results compared to other existing, more complex methods.

COVID-19 Diagnosis

Potential Features of ICU Admission in X-ray Images of COVID-19 Patients

no code implementations26 Sep 2020 Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manas Saha, Tanmoy Debnath, D. M. Motiur Rahaman

X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19.

Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves

no code implementations10 Jul 2020 Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath, Suzy Rogiers, Tintu Baby, DM Motiur Rahaman, Lihong Zheng, Leigh Schmidtke

Hyperspectral (HS) imaging was successfully employed in the 380 nm to 1000 nm wavelength range to investigate the efficacy of detecting age, healthiness and individual nutrient deficiency of grapevine leaves collected from vineyards located in central west NSW, Australia.

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