Skip to main content

Research Repository

Advanced Search

All Outputs (2)

A computational visual saliency model for images. (2021)
Thesis
NARAYANASWAMY, M. 2021. A computational visual saliency model for images. Robert Gordon University, MRes thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1447310

Human eyes receive an enormous amount of information from the visual world. It is highly difficult to simultaneously process this excessive information for the human brain. Hence the human visual system will selectively process the incoming informati... Read More about A computational visual saliency model for images..

A low-complexity wavelet-based visual saliency model to predict fixations. (2020)
Conference Proceeding
NARAYANASWAMY, M., ZHAO, Y., FUNG, W.K. and FOUGH, N. 2020. A low-complexity wavelet-based visual saliency model to predict fixations. In Proceedings of 27th Institute of Electrical and Electronic Engineers (IEEE) International conference on electronics, circuits and systems 2020 (ICECS 2020), 23-25 November 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9294905. Available from: https://doi.org/10.1109/ICECS49266.2020.9294905

A low-complexity wavelet-based visual saliency model to predict the regions of human eye fixations in images using low-level features is proposed. Unlike the existing wavelet-based saliency detection models, the proposed model requires only two chann... Read More about A low-complexity wavelet-based visual saliency model to predict fixations..