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Designing and testing scene enhancement algorithms for patients with retina degenerative disorders

BACKGROUND: Retina degenerative disorders represent the primary cause of blindness in UK and in the developed world. In particular, Age Related Macular Degeneration (AMD) and Retina Pigmentosa (RP) diseases are of interest to this study. We have therefore created new image processing algorithms for...

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Autores principales: Al-Atabany, Walid I, Memon, Muhammad A, Downes, Susan M, Degenaar, Patrick A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914026/
https://www.ncbi.nlm.nih.gov/pubmed/20565870
http://dx.doi.org/10.1186/1475-925X-9-27
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author Al-Atabany, Walid I
Memon, Muhammad A
Downes, Susan M
Degenaar, Patrick A
author_facet Al-Atabany, Walid I
Memon, Muhammad A
Downes, Susan M
Degenaar, Patrick A
author_sort Al-Atabany, Walid I
collection PubMed
description BACKGROUND: Retina degenerative disorders represent the primary cause of blindness in UK and in the developed world. In particular, Age Related Macular Degeneration (AMD) and Retina Pigmentosa (RP) diseases are of interest to this study. We have therefore created new image processing algorithms for enhancing the visual scenes for them. METHODS: In this paper we present three novel image enhancement techniques aimed at enhancing the remaining visual information for patients suffering from retina dystrophies. Currently, the only effective way to test novel technology for visual enhancement is to undergo testing on large numbers of patients. To test our techniques, we have therefore built a retinal image processing model and compared the results to data from patient testing. In particular we focus on the ability of our image processing techniques to achieve improved face detection and enhanced edge perception. RESULTS: Results from our model are compared to actual data obtained from testing the performance of these algorithms on 27 patients with an average visual acuity of 0.63 and an average contrast sensitivity of 1.22. Results show that Tinted Reduced Outlined Nature (TRON) and Edge Overlaying algorithms are most beneficial for dynamic scenes such as motion detection. Image Cartoonization was most beneficial for spatial feature detection such as face detection. Patient's stated that they would most like to see Cartoonized images for use in daily life. CONCLUSIONS: Results obtained from our retinal model and from patients show that there is potential for these image processing techniques to improve visual function amongst the visually impaired community. In addition our methodology using face detection and efficiency of perceived edges in determining potential benefit derived from different image enhancement algorithms could also prove to be useful in quantitatively assessing algorithms in future studies.
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spelling pubmed-29140262010-08-03 Designing and testing scene enhancement algorithms for patients with retina degenerative disorders Al-Atabany, Walid I Memon, Muhammad A Downes, Susan M Degenaar, Patrick A Biomed Eng Online Research BACKGROUND: Retina degenerative disorders represent the primary cause of blindness in UK and in the developed world. In particular, Age Related Macular Degeneration (AMD) and Retina Pigmentosa (RP) diseases are of interest to this study. We have therefore created new image processing algorithms for enhancing the visual scenes for them. METHODS: In this paper we present three novel image enhancement techniques aimed at enhancing the remaining visual information for patients suffering from retina dystrophies. Currently, the only effective way to test novel technology for visual enhancement is to undergo testing on large numbers of patients. To test our techniques, we have therefore built a retinal image processing model and compared the results to data from patient testing. In particular we focus on the ability of our image processing techniques to achieve improved face detection and enhanced edge perception. RESULTS: Results from our model are compared to actual data obtained from testing the performance of these algorithms on 27 patients with an average visual acuity of 0.63 and an average contrast sensitivity of 1.22. Results show that Tinted Reduced Outlined Nature (TRON) and Edge Overlaying algorithms are most beneficial for dynamic scenes such as motion detection. Image Cartoonization was most beneficial for spatial feature detection such as face detection. Patient's stated that they would most like to see Cartoonized images for use in daily life. CONCLUSIONS: Results obtained from our retinal model and from patients show that there is potential for these image processing techniques to improve visual function amongst the visually impaired community. In addition our methodology using face detection and efficiency of perceived edges in determining potential benefit derived from different image enhancement algorithms could also prove to be useful in quantitatively assessing algorithms in future studies. BioMed Central 2010-06-18 /pmc/articles/PMC2914026/ /pubmed/20565870 http://dx.doi.org/10.1186/1475-925X-9-27 Text en Copyright ©2010 Al-Atabany et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Al-Atabany, Walid I
Memon, Muhammad A
Downes, Susan M
Degenaar, Patrick A
Designing and testing scene enhancement algorithms for patients with retina degenerative disorders
title Designing and testing scene enhancement algorithms for patients with retina degenerative disorders
title_full Designing and testing scene enhancement algorithms for patients with retina degenerative disorders
title_fullStr Designing and testing scene enhancement algorithms for patients with retina degenerative disorders
title_full_unstemmed Designing and testing scene enhancement algorithms for patients with retina degenerative disorders
title_short Designing and testing scene enhancement algorithms for patients with retina degenerative disorders
title_sort designing and testing scene enhancement algorithms for patients with retina degenerative disorders
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914026/
https://www.ncbi.nlm.nih.gov/pubmed/20565870
http://dx.doi.org/10.1186/1475-925X-9-27
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