Legal claims defining the scope of protection, as filed with the USPTO.
1. An image compensating apparatus comprising: an input unit to receive input of an photo image; a Gaussian filtering unit to perform Gaussian filtering on the photo image; a division-map generating unit to convert the photo image on which the Gaussian filtering is performed into a color space comprising a plurality of color components and then generating a chromaticity division-map for dividing the photo image on which the Gaussian filtering is performed into regions according to chromaticity based on a color coordinate value in the color space; a calculating unit to calculate average chromaticity of each respective region among the regions by using the chromaticity division-map; and a compensating unit to compensate chromaticity of each respective region of the photo image by using the average chromaticity of each respective region.
2. The image compensating apparatus of claim 1 , further comprising a converting unit to convert the photo image on which the Gaussian filtering is performed into a C-M-Y color space, wherein the division-map generating unit converts the photo image on which Gaussian filtering is performed into an L-Cyb-Crg color space, and generates the chromaticity division-map based on a Cyb-Crg color coordinate value, and wherein the compensating unit compensates the chromaticity by using a CMY value converted by the converting unit and the average chromaticity of each respective region.
3. The image compensating apparatus of claim 2 , wherein the compensating unit compensates the photo image by using a weight obtained by converting a size of each channel in a Cyb-Crg space into a CMY value.
4. The image compensating apparatus of claim 3 , wherein the division-map generating unit checks Cyb and Crg values of each pixel, wherein, when the Cyb value is equal to or greater than a first predetermined threshold value, the division-map generating unit determines a corresponding pixel to yellow, wherein, when the Cyb value is less than the first predetermined threshold value, the division-map generating unit determines the corresponding pixel to blue, wherein, when the Crg value is equal to or greater than a second predetermined threshold value, the division-map generating unit determines the corresponding pixel to red, and wherein, when the Crg value is less than the second predetermined threshold value, the division-map generating unit determines the corresponding pixel to green.
5. The image compensating apparatus of claim 3 , further comprising: a saturation and contrast adjusting unit to adjust saturation and contrast of an image of which chromaticity is compensated by the compensating unit.
6. The image compensating apparatus of claim 2 , wherein the calculating unit calculates average chromaticity of each CMY value according to the following equation: I C , avg ( n ) = 1 NP n ∑ x = 0 NP n 1 - R ( x , y , n ) I M , avg ( n ) = 1 NP n ∑ x = 0 NP n 1 - G ( x , y , n ) I Y , avg ( n ) = 1 NP n ∑ x = 0 NP n 1 - B ( x , y , n ) wherein ‘NPn’ is the number of pixels of a region ‘n’, ‘n’ is each region, and R(x,y,n), G(x,y,n), and B(x,y,n) are R, G and B values of each pixel of the region ‘n’, respectively.
7. The image compensating apparatus of claim 6 , wherein the compensating unit compensates chromaticity of each respective region of the photo image according to the following equation: I ^ i ( x , y , n ) = W i ( x , y ) I i ( x , y , n ) L avg ( n ) I i , avg ( n ) , i = C , M , Y wherein Wi(x,y) is a weight of pixels of each channel in the CMY color space, Lavg(n) is average lightness of each respective region, and li(x,y,n) is chromaticity of each respective pixel of an input photo image.
8. A method of compensating an image, the method comprising: when a photo image is input, performing Gaussian filtering on the photo image; converting the photo image on which the Gaussian filtering is performed into a color space comprising a plurality of color components, and then generating a chromaticity division-map for dividing the photo image on which the Gaussian filtering is performed into regions according to chromaticity based on a color coordinate value in the color space; calculating average chromaticity of each respective region among the regions by using the chromaticity division-map; and compensating chromaticity of each respective region of the photo image by using the average chromaticity of each respective region.
9. The method of claim 8 , further comprising: converting the photo image on which the Gaussian filtering is performed into a C-M-Y color space, wherein the generating of the chromaticity division-map comprises converting the photo image on which Gaussian filtering is performed into an L-Cyb-Crg color space, and generating the chromaticity division-map based on a Cyb-Crg color coordinate value, and wherein the compensating comprises compensating the chromaticity by using a CMY value converted from the photo image and the average chromaticity of each respective region.
10. The method of claim 9 , wherein the compensating comprises compensating the photo image by using a weight obtained by converting a size of each channel in a converted Cyb-Crg space into a CMY value.
11. The method of claim 10 , wherein the generating of the chromaticity division-map comprises checking Cyb and Crg values of each pixel; when the Cyb value is equal to or greater than a first predetermined threshold value, determining a corresponding pixel to yellow; when the Cyb value is less than the first predetermined threshold value, determining the corresponding pixel to blue; when the Crg value is equal to or greater than a second predetermined threshold value, determining the corresponding pixel to red; and when the Crg value is less than the second predetermined threshold value, determining the corresponding pixel to green.
12. The method of claim 10 , further comprising: adjusting saturation and contrast of an image of which chromaticity is compensated.
13. The method of claim 9 , wherein the calculating comprises average chromaticity of each CMY value according to the following equation: I C , avg ( n ) = 1 NP n ∑ x = 0 NP n 1 - R ( x , y , n ) I M , avg ( n ) = 1 NP n ∑ x = 0 NP n 1 - G ( x , y , n ) I Y , avg ( n ) = 1 NP n ∑ x = 0 NP n 1 - B ( x , y , n ) wherein ‘NPn’ is the number of pixels of a region ‘n’, ‘n’ is each region, and R(x,y,n), G(x,y,n), and B(x,y,n) are R, G and B values of each pixel of the region ‘n’, respectively.
14. The method of claim 13 , wherein the compensating comprises compensating chromaticity of each respective region of the photo image according to the following equation: I ^ i ( x , y , n ) = W i ( x , y ) I i ( x , y , n ) L avg ( n ) I i , avg ( n ) , i = C , M , Y wherein Wi(x,y) is a weight of pixels of each channel in the CMY color space, Lavg(n) is average lightness of each respective region, and li(x,y,n) is chromaticity of each respective pixel of an input photo image.
15. An image processing apparatus comprising: a display unit to display a selection window about a plurality of methods of compensating chromaticity; and a chromaticity compensating unit to compensate chromaticity of a photo image by using a chromaticity compensating method that is selected in the selection window, Wherein the chromaticity compensating method comprises a compensating method based on an L-Cub-Crag color space and at least one method based on estimation of a light source, and wherein the compensating method based on the L-Cub-Crag color space is a chromaticity compensating method comprising performing Gaussian filtering on the photo image, converting the photo image into the L-Cub-Crag color space, generating a chromaticity division-map of regions of the photo image based on a Cyb-Crg color coordinate value, calculating average chromaticity of each respective region of the regions by using the chromaticity division-map, and then compensating chromaticity of each respective region of the photo image by using a C-M-Y image of the photo image and the calculated average chromaticity of each respective region.
16. The image processing apparatus of claim 15 , further comprising: a controller to control the display unit to display a photo image that is compensated by the chromaticity compensating unit, wherein the photo image comprises at least one of an image captured by an imaging device installed in the image processing apparatus, an image transmitted from an external device, and an image read from a recording medium installed inside or outside the image processing apparatus.
17. A method of processing an image in an image processing apparatus, the method comprising: when a program to compensate a photo image is operated, displaying an interface window to compensate chromaticity; when the photo image to be compensated is selected in the interface window, displaying the selected photo image, and receiving selection of a region to be compensated of the photo image; when the region to be compensated is selected, compensating the selected region by using a basic compensating method; displaying an image that is compensated by using the basic compensating method; when a menu to check a result obtained by using a different compensating method is selected, displaying at least one image that is compensated by using the different compensating method; when chromaticity compensation using the basic compensating method or the different compensating method is completed, displaying a menu to adjust saturation and contrast; and when adjustment of the saturation and the contrast are completed, displaying an image comprising at least one executing command about a final image, wherein any one of the basic compensating method and the different compensating method is a compensating method based on an L-Cyb-Crg color space comprising performing Gaussian filtering on the photo image, converting the photo image into the L-Cyb-Crg color space, generating a chromaticity division-map of regions of the photo image based on a Cyb-Crg color coordinate value, calculating average chromaticity of each respective region of the regions by using the chromaticity division-map, and then compensating chromaticity of each respective region of the photo image by using a C-M-Y image of the photo image and the calculated average chromaticity of each respective region.
18. A method of processing an image, the method comprising: displaying photo images compensated according to a plurality of methods of compensating chromaticity, respectively; when one photo image among the displayed photo images is selected, compensating an original photo image by using a chromaticity compensating method corresponding to the selected photo image; and performing at least one operation of printing, transmitting and storing the compensated photo image, wherein the plurality of methods of compensating chromaticity comprise a compensating method based on an L-Cyb-Crg color space and at least one compensating method based on estimation of a light source, and wherein the compensating method based on an L-Cyb-Crg color space is a chromaticity compensating method comprising performing Gaussian filtering on a photo image, converting the photo image into the L-Cyb-Crg color space, generating a chromaticity division-map for dividing the photo image on which the Gaussian filtering is performed into regions according to chromaticity based on a Cyb-Crg color coordinate value, calculating average chromaticity of each respective region among the regions by using the chromaticity division-map, and then compensating chromaticity of each respective region of the photo image by using a C-M-Y image of the photo image and the calculated chromaticity of each respective region.
19. The method of claim 8 , wherein the photo image, on which the Gaussian filtering is performed, is an RGB photo image.
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February 23, 2016
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