Search Results for author: Janarthanam Jothi Balaji

Found 3 papers, 2 papers with code

OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution

1 code implementation9 Nov 2023 Rishav Bhardwaj, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan

In this paper, we propose applying a new technique called Overlapping Windows on Semi-Local Region (OW-SLR) to an image to obtain any arbitrary resolution by taking the coordinates of the semi-local region around a point in the latent space.

Image Super-Resolution

Direct Estimation of Pupil Parameters Using Deep Learning for Visible Light Pupillometry

no code implementations10 May 2023 Abhijeet Phatak, Aditya Chandra Mandal, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan

Previously we demonstrated the use of deep learning techniques to accurately detect the pupil pixels (segmentation binary mask) in case of VL images for performing VL pupillometry.

Segmentation

FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone

1 code implementation22 Nov 2021 V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan

Various ocular diseases and high myopia influence the anatomical reference point Foveal Avascular Zone (FAZ) dimensions.

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