Enhancement of video images should enable visually impaired people greater access to TV and other video sources. In previous years, contrast enhancement based on band-pass filtering and wide-band enhancement approaches were developed and tested. Results were encouraging, showing improved performance in face recognition and in obtaining details from motion videos as well as modest preference for enhanced images in both static and motion video. We believe that the modest level of preference for enhancement was a result of short-term adaptation to enhanced images, an effect that was recently reported from a number of labs. We will investigate these adaptation effects, including those in patients with central field loss, and will test enhancement methods that aim to overcome these effects. Also, we will continue evaluation of improved versions of the wide-band enhancement and the MPEG-based enhancement, both of which could benefit also from the same counter-adaptive approaches. The basic vision modeling aspect of the study will examine changes and adaptations that occur in peripheral vision processing with long-term central visual loss. In particular, studies of long-range facilitation in visually-impaired patients will be used in a search for measures of visual function that will explain and quantify deficits in pattern vision in peripheral retina. Studies of temporal aspects of vision started in the last grant period will be continued and expanded. Results of basic studies will guide further refinement of the visual model, and tuning and optimization of the enhancement techniques. Through image enhancement of video-based images, we expect to improve the quality of life of people with visual impairments.
| Vera-Diaz, Fuensanta A; Woods, Russell L; Peli, Eli (2017) Blur Adaptation to Central Retinal Disease. Invest Ophthalmol Vis Sci 58:3646-3655 |
| Jung, Jae-Hyun; Pu, Tian; Peli, Eli (2016) Comparing object recognition from binary and bipolar edge images for visual prostheses. J Electron Imaging 25: |
| Jung, Jae-Hyun; Pu, Tian; Peli, Eli (2016) Comparing object recognition from binary and bipolar edge features. IS&T Int Symp Electron Imaging 2016: |
| Haun, Andrew M; Peli, Eli (2015) Similar Sensitivity to Ladder Contours in Macular Degeneration Patients and Controls. PLoS One 10:e0128119 |
| García-Pérez, Miguel A; Peli, Eli (2015) Aniseikonia Tests: The Role of Viewing Mode, Response Bias, and Size-Color Illusions. Transl Vis Sci Technol 4:9 |
| Jung, Jae-Hyun; Aloni, Doron; Yitzhaky, Yitzhak et al. (2015) Active confocal imaging for visual prostheses. Vision Res 111:182-96 |
| Radhakrishnan, Aiswaryah; Sawides, Lucie; Dorronsoro, Carlos et al. (2015) Single neural code for blur in subjects with different interocular optical blur orientation. J Vis 15:15 |
| Hwang, Alex D; Peli, Eli (2014) An augmented-reality edge enhancement application for Google Glass. Optom Vis Sci 91:1021-30 |
| Haun, Andrew M; Peli, Eli (2014) Binocular rivalry with peripheral prisms used for hemianopia rehabilitation. Ophthalmic Physiol Opt 34:573-9 |
| Dilks, Daniel D; Julian, Joshua B; Peli, Eli et al. (2014) Reorganization of visual processing in age-related macular degeneration depends on foveal loss. Optom Vis Sci 91:e199-206 |
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