OW-SLR: overlapping windows on semi-local region for image super-resolution

Rishav Bhardwaj; Janarthanam Jothi Balaji; Vasudevan Lakshminarayanan

doi:10.1117/12.2680629

4 October 2023 OW-SLR: overlapping windows on semi-local region for image super-resolution

Rishav Bhardwaj, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 1267416 (2023) https://doi.org/10.1117/12.2680629
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

There has been considerable progress in implicit neural representation to upscale an image to any arbitrary resolution. However, existing methods are based on defining a function to predict the RGB value from just four specific loci. Relying on just four loci is insufficient as it leads to losing fine details from the neighboring region(s). We show that by taking into account the semi-local region leads to an improvement in performance. In this paper, a new technique called Overlapping Windows on Semi-Local Region (OW-SLR) is applied to an image to obtain any arbitrary resolution by taking the coordinates of the semi-local region around a point in the latent space. This extracted detail is used to predict the RGB value of a point. We illustrate the technique by applying the algorithm to the Optical Coherence Tomography-Angiography (OCT-A) images and show that it can upscale them to random resolution. This technique outperforms the existing state-of-the-art methods when applied to the OCT500 dataset. OW-SLR provides better results for classifying healthy and diseased retinal images such as diabetic retinopathy and normals from the given set of OCT-A images. The project page is available at https://rishavbb.github.io/ow-slr/index.html

Citation Download Citation

Rishav Bhardwaj, Janarthanam Jothi Balaji, and Vasudevan Lakshminarayanan "OW-SLR: overlapping windows on semi-local region for image super-resolution", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 1267416 (4 October 2023); https://doi.org/10.1117/12.2680629

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