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Image Compression and Resizing for Retinal Implant in Bionic Eye

Author(s): N.Sharmili | P.S. Ramaiah | G.Swamynadhan

Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252

Volume: 2;
Issue: 2;
Start page: 30;
Date: 2011;
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Keywords: Epiretinal implant | AMD | RP | Extraocular and Intraocular

One field where computer-related Image processing technology shows great promise for the future isbionic implants such as Cochlear implants, Retinal implants etc.. Retinal implants are being developedaround the world in hopes of restoring useful vision for patients suffering from certain types of diseaseslike Age-related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP). In these diseases thephotoreceptor cells slowly degenerated, leading to blindness. However, many of the inner retinalneurons that transmit signals from the photoreceptors to the brain are preserved to a large extent for aprolonged period of time. The Retinal Prosthesis aims to provide partial vision by electricallyactivating the remaining cells of the retina. The Epi retinal prosthesis system is composed of twounits, extra ocular unit and intraocular implant. The two units are connected by a telemetric inductivelink. The Extraocular unit consists of a CCD camera, an image processor, an encoder, and a transmitterbuilt on the eyeglass. High-resolution image from a CCD camera is reduced to lower resolutionmatching the array of electrodes by image processor, which is then encoded into bit stream. Eachelectrode in an implant corresponds to one pixel in an image. The bit stream is modulated on a 22 MHzcarrier and then transmitted wirelessly to the inside implant. This paper mainly discusses twoapproaches in image processing which reduces the size of the image without loss of the object detectionrate to that of the original image. One is about the related image processing algorithms include imageresizing, color erasing, edge enhancement and edge detection. Second one is to generate the saliencymap for an image.

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