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

BioMedical Engineering Online

Volumn 9, Issue , 2010, Pages

  Al Atabany, Walid I ^a,c   Memon, Muhammad A ^a   Downes, Susan M ^b   Degenaar, Patrick A ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b OXFORD EYE HOSPITAL   (United Kingdom)

^c HELWAN UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

AGE-RELATED MACULAR DEGENERATION; CONTRAST SENSITIVITY; DYNAMIC SCENES; ENHANCEMENT ALGORITHMS; FACE DETECTION; IMAGE ENHANCEMENT ALGORITHM; IMAGE PROCESSING ALGORITHM; IMAGE PROCESSING TECHNIQUE; MOTION DETECTION; PIGMENTOSA; POTENTIAL BENEFITS; PROCESSING MODEL; RETINAL IMAGE; SPATIAL FEATURES; VISUAL ACUITY; VISUAL FUNCTIONS; VISUAL INFORMATION; VISUAL SCENE; VISUALLY IMPAIRED;

ABILITY TESTING; ALDEHYDES; ALGORITHMS; IMAGE ENHANCEMENT; IMAGING SYSTEMS; OPHTHALMOLOGY; VISUAL COMMUNICATION;

EDGE DETECTION;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COLOR; CONTRAST SENSITIVITY; EYE DISEASE; HUMAN; PATHOLOGY; PATHOPHYSIOLOGY; PATTERN RECOGNITION; PHYSIOLOGY; RETINA; VISUAL ACUITY;

ALGORITHMS; COLOR; CONTRAST SENSITIVITY; EYE DISEASES; HUMANS; MODELS, BIOLOGICAL; PATTERN RECOGNITION, VISUAL; RETINA; VISUAL ACUITY;

EID: 77955431715     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-9-27     Document Type: Article

References (49)

1. Foster A, Resnikoff S. The impact of Vision 2020 on global blindness. Eye 2005, 19:1133-1135. 10.1038/sj.eye.6701973, 16304595.
2. Tate R, Smeeth L, Evans J, Fletcher A, Owen C, Wolfson AR. "The prevalence of visual impairment in the UK". Report commissioned by the Royal National Institute of the Blind 2005, http://www.rnib.org.uk.
3. Veraart C, Duret F, Brelén M, Oozeer M, Delbeke J. Vision rehabilitation in the case of blindness. Expert Rev Med Devices 2004, 1:139-153. 10.1586/17434440.1.1.139, 16293017.
4. Elliott DB, Trukolo-Ilic M, Strong JG, Pace R, Plotkin A, Bevers P. Demographic characteristics of the vision-disabled elderly. Invest Ophthalmol Vis Sci 1997, 38:2566-2575.
5. Brabyn JA. New Developments in Mobility and Orientation Aids for the Blind. Ieee Transactions on Biomedical Engineering 1982, 29:285-289. 10.1109/TBME.1982.324945, 6175559.
6. Prothero JD. The treatment of akinesia using virtual images. 1993, Industrial Engineering, University of Washington.
7. Massof RW, Rickman DL. Obstacles encountered in the development of the low vision enhancement system. Optom Vis Sci 1992, 69:32-41. 10.1097/00006324-199201000-00005, 1371334.
8. Wolffsohn JS, Mukhopadhyay D, Rubinstein M. Image enhancement of real-time television to benefit the visually impaired. Am J Ophthalmol 2007, 144:436-440. 10.1016/j.ajo.2007.05.031, 17632067.
9. Peli E, Luo G, Bowers A, Rensing N. 22.4: Invited Paper: Augmented Vision Head-Mounted Systems for Vision Impairments. SID Symposium Digest of Technical Papers 2007, 38:1074-1077.
10. Apfelbaum HL, Apfelbaum DH, Woods RL, Peli E. Inattentional blindness and augmented-vision displays: effects of cartoon-like filtering and attended scene. Ophthalmic Physiol Opt 2008, 28:204-217. 10.1111/j.1475-1313.2008.00537.x, 2396779, 18426419.
11. Fullerton M, Peli E. Post Transmission Digital Video Enhancement for People with Visual Impairments. JSoc Inf Disp 2006, 14:15-24.
12. Peli E. Recognition performance and perceived quality of video enhanced for the visually impaired. Ophthalmic Physiol Opt 2005, 25:543-555. 10.1111/j.1475-1313.2005.00340.x, 1343473, 16343130.
13. Peli E, Kim J, Yitzhaky Y, Goldstein RB, Woods RL. Wideband enhancement of television images for people with visual impairments. Journal of the Optical Society of America a-Optics Image Science and Vision 2004, 21:937-950.
14. Vargas-Martín F, Peláez-Coca MD, Ros E, Diaz J, Mota S. A generic real-time video processing unit for low vision. International Congress Series 2005, 1282:1075-1079.
15. Everingham MR, Thomas BT, Troscianko T. Head-mounted Mobility Aid for Low Vision using Scene Classification Techniques. The International Journal of Virtual Reality 1999, 3:3-12.
16. Comaniciu D, Meer P. Mean shift: A robust approach toward feature space analysis. Ieee Transactions on Pattern Analysis and Machine Intelligence 2002, 24:603-619.
17. Han SD, Tao WB, Wang DS, Tai XC, Wu XL. Image Segmentation Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor. Ieee Transactions on Image Processing 2009, 18:2289-2302. 10.1109/TIP.2009.2025560, 19535321.
18. Teng QZ, He XH, Jiang L, Deng ZY, Wu XQ, Tao DY. Color image segmentation algorithm based on neural networks. Biomedical Photonics and Optoelectronic Imaging 2000, 4224:109-113.
19. Grau V, Mewes AUJ, Alcaniz M, Kikinis R, Warfield SK. Improved watershed transform for medical image segmentation using prior information. Ieee Transactions on Medical Imaging 2004, 23:447-458. 10.1109/TMI.2004.824224, 15084070.
20. Atabany W, Degenaar P. Parallelism to reduce power consumption on FPGA spatiotemporal image processing. Proc IEEE International Symposium on Circuits and Systems ISCAS 2008 2008, 1476-1479.
21. Raskar R, Tan K-H, Feris R, Yu J, Turk M. Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging. ACM Transactions on Graphics 2004, 23:679-688.
22. DeCarlo D, Santella A. Stylization and abstraction of photographs. SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques 2002, 769-776. New York, USA: ACM.
23. Banks DJ, Degenaar P, Toutnazou C. Low-power pulse-width-modulated neuromorphic spiking circuit allowing signed double byte data transfer along a single channel. Electronics Letters 2007, 43:704-706.
24. Atabany W, Degenaar P. A Robust Edge Enhancement Approach for Low Vision Patients Using Scene Simplification. Cairo International Biomedical Engineering Conference CIBEC 2008 2008, 1-4.
25. Bovik AC. Handbook of Image and Video Processing. 2005, Orlando, FL, USA: Academic Press, Inc.
26. Perona P, Malik J. Scale-Space and Edge-Detection Using Anisotropic Diffusion. Ieee Transactions on Pattern Analysis and Machine Intelligence 1990, 12:629-639.
27. Fleck MM. Some Defects in Finite-Difference Edge Finders. Ieee Transactions on Pattern Analysis and Machine Intelligence 1992, 14:337-345.
28. Canny J. A Computational Approach to Edge-Detection. Ieee Transactions on Pattern Analysis and Machine Intelligence 1986, 8:679-698.
29. Jobson DJ, Rahman ZU, Woodell GA. A multiscale retinex for bridging the gap between color images and the human observation of scenes. Ieee Transactions on Image Processing 1997, 6:965-976. 10.1109/83.597272, 18282987.
30. Holger W, Olsen SC, Gooch B. Real-time video abstraction. ACM Trans Graph 2006, 25:1221-1226.
31. Hubel DH, Wiesel TN. Republication of The Journal of Physiology (1959) 148, 574-591: Receptive fields of single neurones in the cat's striate cortex. Journal of Physiology-London 2009, 587:2722-2732.
32. Chang PR, Yeh BF. A Retina-Like Image Acquisition-System with Wide-Range Light Adaptation. Visual Communications and Image Processing 91: Image Processing, Pts 1 and 2 1991, 1606:456-469.
33. Mahowald MA. Silicon retina with adaptive photoreceptors. 1991, 1473:52-58. SPIE, Mathur BP, Koch C.
34. Morillas CA, Romero SF, Martínez A, Pelayo FJ, Ros E, Fernández E. A design framework to model retinas. Biosystems 2007, 87:156-163. 10.1016/j.biosystems.2006.09.009, 17011701.
35. Kolb H, Fernández E, Nelson R. Web Vision. 2010, http://webvision.med.utah.edu/
36. Field GD, Chichilnisky EJ. Information Processing in the Primate Retina: Circuitry and Coding. Annual Review of Neuroscience 2007, 30:1-30. 10.1146/annurev.neuro.30.051606.094252, 17335403.
37. Geisler WS, Perry JS. A real-time foveated multiresolution system for low-bandwidth video communication. in Proc SPIE 1998, 294-305.
38. Chang E-C, Mallat S, Yap C. Wavelet Foveation. Applied and Computational Harmonic Analysis 2000, 9:312-335.
39. Dowling JE. The Retina: An Approachable Part of the Brain. 1990, Harvard University Press.
40. Shah S, Levine MD. Visual information processing in primate cone pathways. I. A model. IEEE Trans Syst Man Cybern B Cybern 1996, 26:259-274. 10.1109/3477.485837, 18263028.
41. Wang H, Chen Y, Fang T, Tyan J, Ahuja N. Gradient Adaptive Image Restoration and Enhancement. Proc IEEE International Conference on Image Processing 2006, 2893-2896.
42. Shen J, Jin X, Zhou C, Wang CCL. Gradient based image completion by solving the Poisson equation. Comput Graph 2007, 31:119-126.
43. Pelli DG, Robson JG, Wilkins AJ. The Design of a New Letter Chart for Measuring Contrast Sensitivity. Clinical Vision Sciences 1988, 2:187-199.
44. Tsao DY, Livingstone MS. Mechanisms of Face Perception. Annual Review of Neuroscience 2008, 31:411-437. 10.1146/annurev.neuro.30.051606.094238, 2629401, 18558862.
45. Moscovitch M, Winocur G, Behrmann M. What Is Special about Face Recognition?: Nineteen Experiments on a Person with Visual Object Agnosia and Dyslexia but Normal Face Recognition. J Cogn Neurosci 1997, 9:555-604.
46. Viola P, Jones M. Robust Real-time Object Detection. International Journal of Computer Vision 2001,
47. Kienzle W, Bakir GH, Franz MO, Scholkopf B. Face Detection --- Efficient and Rank Deficient. Advances in Neural Information Processing Systems 17 2005, 673-680. Cambridge, MA: MIT Press, Saul LK, Weiss Y, Bottou Leo.
48. Osuna E, Freund R, Girosi F. Training Support Vector Machines: an Application to Face Detection. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on 1997, 0:130.
49. Degenaar P, Grossman N, Memon MA, Burrone J, Dawson M, Drakakis E, Neil M, Nikolic K. Optobionic vision-a new genetically enhanced light on retinal prosthesis. Journal of Neural Engineering 2009, 6:035007. 10.1088/1741-2560/6/3/035007, 19458396.