1. Field of the Invention
The invention relates to a method to be used in the field of optometry, ophthalmology and optics in general to simulate the appearance of an image, as it would be seen through a colored filter or lens. Application of color to filters or spectacle, contact, intraocular or other lenses by optical laboratory workers has been a common practice. Such colored filters or lenses will then be used as a component of a sunglass or for other beneficial purposes.
2. Background of the Related Art
The selection by an end user of an appropriate color for a filter or ophthalmic spectacle, contact, intraocular, or other lens is difficult. Individuals respond differently to different colors and must evaluate the chosen filter or lens color for the application in which its use is intended. Other attempts at simulation of color to be perceived through lenses and filters have been made. Wertheim, et al, has described in U.S. Pat. No. 7,204,591 a device using RGB light emitting diodes which illuminates a pattern. Anderson, et al, in U.S. Pat. No. 7,380,940 describes another such device. Wilkins, in U.S. Pat. Nos. 5,528,431 and 5,855,428 describes a device, which uses conventional light sources and colored filters to illuminate a test pattern.
Agnew described in U.S. Pat. No. 6,583,792 a method to allow an end user to see how colored spectacle leases in eyewear would appear on his or her face by utilization of a computer program and display to superpose the image of the eyewear on an image of the person's face. In U.S. Pat. No. 8,427,498, Ou, et al, teaches a method using computer algorithms to predict and display pleasing colors for various applications. Edge, in U.S. Pat. Nos. 8,223,336 and 8,355,573, describes a method for better characterization of the human element in color perception.
All of these devices and methods are useful, but for the purpose of evaluating which color of filter or ophthalmic spectacle, contact, intraocular, or other lens may be useful in various specific applications another method is suggested.
The method herein described utilizes a computer program and display screen or other visual display device to simulate how an image will appear to the end user when observed through a colored filter or ophthalmic spectacle, contact, intraocular or other type of lens. The computer program examines each pixel of the image to be viewed and utilizes an algorithm which multiplies the pixel's original red (R), green (G) and blue (B) brightness values each by a fraction which represents the amount of light that the colored filter or lens would allow to pass in the red, green and blue. The pixels with this modified brightness are then reconstructed into an image, which when displayed, shows how the original image would appear as seen through this colored filter or lens. Some digital images will be supplied with the computer program for evaluation; however the user, to explore what filter or lens colors might be useful for another application, may upload additional digital images to the computer's digital memory database.
The method further uses a computer algorithm to allow the end user to vary the R, G and B fractional values of the filter or lens based on motions of the computer mouse as it is moved to various locations on the computer's display screen or other visual display device or by touching the computer's touch screen or by other similar manipulations. In this way, the end user may change the filter or lens color while the image is being viewed, changing the image's perceived color.
The computer's digital memory database also stores R, G and B values of standard filter colors (
Many color space chromaticity coordinates may be used to describe a given color or hue, such as the 1931 CIE X, Y, Z, or CIE x,y,Y or CIE LAB. These are translated into R, G and B values for the computer's display screen or other visual display device. The R, G and B value of a pixel corresponds to its brightness in the red, green and blue peak emission wavelengths of the computer display screen or other visual display device. The described method first uses a computer algorithm to extract an individual pixel from a digital image. The algorithm of this method examines the pixel's R, G and B brightness numbers and then multiplies each respectively by a fraction, Fr, Fg and Fb, whose values are each less than one and which represent the transmittance of an absorptive filter color at those red, green and blue wavelengths. The computer algorithm then returns this pixel, its R, G and B brightness modified by its virtual passage through the filter color as described above, back to its original location on the computer display screen or other visual display device. When all of the pixels of an image have been so modified, the original image, now modified by virtual passage through the filter color, is displayed on the computer display screen or other visual display device.
In order to obtain the effect desired by the end user, the filter color's Fr, Fg and Fb values are changed in real time by the user's manipulation of a mouse, touch screen or other suitable computer input device. When the desired effect is obtained, the final modified image as filtered by the final values of Fr, Fg and Fb is displayed (
A computer algorithm is then used to compare the user selected Fr, Fg and Fb values with a database of the Fr1, Fg1 and Fb1 values of standard filter colors stored in the computer's digital memory. The comparison is accomplished by using the three dimensional distance between the user selected Fr, Fg and Fb values and the Fr1, Fg1 and Fb1 values of the individual standard filter colors, respectively. A small portion of the computer display screen or other visual display device shows color swatches of several of the standard filters whose Fr1, Fg1 and Fb1 values have the least distance to the user selected Fr, Fg and Fb values (
The digital image database (
Number | Name | Date | Kind |
---|---|---|---|
5528431 | Wilkins | Jun 1996 | A |
5855428 | Wilkins | Jan 1999 | A |
6095650 | Gao | Aug 2000 | A |
6583792 | Agnew | Jun 2003 | B1 |
6891550 | Nolan | May 2005 | B1 |
7204591 | Wertheim et al. | Apr 2007 | B2 |
7380940 | Anderson et al. | Jun 2008 | B2 |
7737989 | Pettitt | Jun 2010 | B2 |
8223336 | Edge | Jul 2012 | B2 |
8355573 | Edge | Jan 2013 | B2 |
8427498 | Ou et al. | Apr 2013 | B2 |
20080316427 | Fisher | Dec 2008 | A1 |
20090003578 | Jain | Jan 2009 | A1 |
20090248377 | Shinohara | Oct 2009 | A1 |
20120002168 | Bonnin | Jan 2012 | A1 |
20150097855 | Dotan | Apr 2015 | A1 |
Number | Date | Country | |
---|---|---|---|
20150235386 A1 | Aug 2015 | US |