Glenn A. Woodell - Newport News VA Daniel J. Jobson - Newport News VA Zia-ur Rahman - Williamsburg VA
Assignee:
Science and Technology Corp. - Hampton VA The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06K 940
US Classification:
382274, 382260
Abstract:
The present invention is a method of processing a digital image that is initially represented by digital data indexed to represent positions on a display. The digital data is indicative of an intensity value I (x,y) for each position (x,y) in each i-th spectral band. A classification of the image based on its dynamic range is then defined in each of the images S spectral bands. The intensity value for each position in each i-th spectral band is adjusted to generate an adjusted intensity value for each position in each i-th spectral band in accordance with where W is a weighting factor, â*â is the convolution operator and S is the total number of unique spectral bands. For each n, the function F (x,y) is a unique surround function applied to each position (x,y) and N is the total number of unique surround functions. Each unique surround function is scaled to improve some aspect of the digital image, e. g. , dynamic range compression, color constancy, and lightness rendition.
Method Of Improving A Digital Image Having White Zones
Glenn A. Woodell - Newport News VA, US Daniel J. Jobson - Newport News VA, US Zia-ur Rahman - Williamsburg VA, US
Assignee:
Science and Technology Corporation - Hampton VA The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06T 500
US Classification:
382274, 382254, 382162
Abstract:
The present invention is a method of processing a digital image that is initially represented by digital data indexed to represent positions on a display. The digital data is indicative of an intensity value I(x,y) for each position (x,y) in each i-th spectral band. The intensity value for each position in each i-th spectral band is adjusted to generate an adjusted intensity value for each position in each i-th spectral band in accordance with where Wis a weighting factor, “*” is the convolution operator and S is the total number of unique spectral bands. For each n, the function F(x,y) is a unique surround function applied to each position (x,y) and N is the total number of unique surround functions. Each unique surround function is scaled to improve some aspect of the digital image, e. g. , dynamic range compression, color constancy, and lightness rendition.
Daniel J. Jobson - Newport News VA, US Zia-ur Rahman - Williamsburg VA, US Glenn A. Woodell - Newport News VA, US
Assignee:
The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06K 9/40
US Classification:
382274, 382275, 382206, 382224, 382260, 382283
Abstract:
Contrast and lightness measures are used to first classify the image as being one of non-turbid and turbid. If turbid, the original image is enhanced to generate a first enhanced image. If non-turbid, the original image is classified in terms of a merged contrast/lightness score based on the contrast and lightness measures. The non-turbid image is enhanced to generate a second enhanced image when a poor contrast/lightness score is associated therewith. When the second enhanced image has a poor contrast/lightness score associated therewith, this image is enhanced to generate a third enhanced image. A sharpness measure is computed for one image that is selected from (i) the non-turbid image, (ii) the first enhanced image, (iii) the second enhanced image when a good contrast/lightness score is associated therewith, and (iv) the third enhanced image. If the selected image is not-sharp, it is sharpened to generate a sharpened image. The final image is selected from the selected image and the sharpened image.
Zia-ur Rahman - Newport News VA Daniel J. Jobson - Newport News VA Glenn A. Woodell - Newport News VA
Assignee:
Science and Technology Corporation - Hampton VA The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
G06K 940
US Classification:
382254
Abstract:
A method of improving a digital image is provided. The image is initially represented by digital data indexed to represent positions on a display. The digital data is indicative of an intensity value I. sub. i (x,y) for each position (x,y) in each i-th spectral band. The intensity value for each position in each i-th spectral band is adjusted to generate an adjusted intensity value for each position in each i-th spectral band in accordance with ##EQU1## where S is the number of unique spectral bands included in said digital data, W. sub. n is a weighting factor and "*" denotes the convolution operator. Each surround function F. sub. n (x,y) is uniquely scaled to improve an aspect of the digital image, e. g. , dynamic range compression, color constancy, and lightness rendition. The adjusted intensity value for each position in each i-th spectral band is filtered with a common function and then presented to a display device.
Youtube
Rollerskating Glenn Woodell with a Prosthetic...
Rollerskating Glenn Woodell with a Prosthetic leg
Category:
Science & Technology
Uploaded:
17 Jun, 2008
Duration:
1m 38s
Donkey Pelt, Prosthetic leg brought to you by...
BBQ for the 4th of July, a bunch of queers in the cabana and stories a...