PURPOSE: To examine the use of real-time, generic edge detection, image processing techniques to enhance the television viewing of the visually impaired. DESIGN: Prospective, clinical experimental study. METHOD: One hundred and two sequential visually impaired (average age 73.8 +/- 14.8 years; 59% female) in a single center optimized a dynamic television image with respect to edge detection filter (Prewitt, Sobel, or the two combined), color (red, green, blue, or white), and intensity (one to 15 times) of the overlaid edges. They then rated the original television footage compared with a black-and-white image displaying the edges detected and the original television image with the detected edges overlaid in the chosen color and at the intensity selected. Footage of news, an advertisement, and the end of program credits were subjectively assessed in a random order. RESULTS: A Prewitt filter was preferred (44%) compared with the Sobel filter (27%) or a combination of the two (28%). Green and white were equally popular for displaying the detected edges (32%), with blue (22%) and red (14%) less so. The average preferred edge intensity was 3.5 +/- 1.7 times. The image-enhanced television was significantly preferred to the original (P < .001), which in turn was preferred to viewing the detected edges alone (P < .001) for each of the footage clips. Preference was not dependent on the condition causing visual impairment. Seventy percent were definitely willing to buy a set-top box that could achieve these effects for a reasonable price. CONCLUSIONS: Simple generic edge detection image enhancement options can be performed on television in real-time and significantly enhance the viewing of the visually impaired.
PURPOSE: To examine the use of real-time, generic edge detection, image processing techniques to enhance the television viewing of the visually impaired. DESIGN: Prospective, clinical experimental study. METHOD: One hundred and two sequential visually impaired (average age 73.8 +/- 14.8 years; 59% female) in a single center optimized a dynamic television image with respect to edge detection filter (Prewitt, Sobel, or the two combined), color (red, green, blue, or white), and intensity (one to 15 times) of the overlaid edges. They then rated the original television footage compared with a black-and-white image displaying the edges detected and the original television image with the detected edges overlaid in the chosen color and at the intensity selected. Footage of news, an advertisement, and the end of program credits were subjectively assessed in a random order. RESULTS: A Prewitt filter was preferred (44%) compared with the Sobel filter (27%) or a combination of the two (28%). Green and white were equally popular for displaying the detected edges (32%), with blue (22%) and red (14%) less so. The average preferred edge intensity was 3.5 +/- 1.7 times. The image-enhanced television was significantly preferred to the original (P < .001), which in turn was preferred to viewing the detected edges alone (P < .001) for each of the footage clips. Preference was not dependent on the condition causing visual impairment. Seventy percent were definitely willing to buy a set-top box that could achieve these effects for a reasonable price. CONCLUSIONS: Simple generic edge detection image enhancement options can be performed on television in real-time and significantly enhance the viewing of the visually impaired.
Authors: Jacob I Laughner; Fu Siong Ng; Matthew S Sulkin; R Martin Arthur; Igor R Efimov Journal: Am J Physiol Heart Circ Physiol Date: 2012-07-20 Impact factor: 4.733
Authors: Premnandhini Satgunam; Russell L Woods; Gang Luo; P Matthew Bronstad; Zachary Reynolds; Chaithanya Ramachandra; Bartlett W Mel; Eli Peli Journal: Optom Vis Sci Date: 2012-09 Impact factor: 1.973