Enhancement of image data
a technology of image data and enhancement, applied in the field of enhancement of image data, can solve the problem that the color subsequent enhancement may appear unnatural in the region except for the face, and achieve the effect of enhancing the image data, enhancing the image, and imparting the preferred color tone to the face color
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embodiment 1
A. Embodiment 1
A1. Overall Device Configuration
[0037]FIG. 1 is a block diagram depicting the software configuration of the printing system of Embodiment 1. On a computer 90, application software 95 runs on a predetermined operating system. The operating system incorporates a video driver 91 and a printer driver 96.
[0038]In response to an instruction by the user input from a mouse 130 or a keyboard 120, the application program 95 reads from a CD-R 140 original image data ORG having three color components, i.e. red (R), green (G), and blue (B). Then, in response to an instruction from the user, image retouching or other such process is carried out on the original image data ORG. Through the agency of the video driver 91, the application program 95 displays the processed image on a CRT display 21. When the application program 95 receives a print command from the user, it issues a print command to the printer driver 96 and outputs the processed image to the printer driver 96 as prelimin...
embodiment 2
B. Embodiment 2
[0079]In Embodiment 2, a photographic image “scene” is determined on the basis of regions except for the facial region A1, and the luminance target values Lt1, Lt2 are determined on the basis of the determined “scene.” Other processes and device configurations of Embodiment 2 are the same as those of Embodiment 1.
[0080]FIG. 6 is a flowchart depicting the process of enhancement in Embodiment 2. The processes of the flowchart of FIG. 6 are the same as those of the flowchart of FIG. 2, except for Steps S43, S45, S93, and S95. Steps S50-S70, which have the same process content as in the flowchart of FIG. 2, have been omitted from the illustration in the flowchart of FIG. 6.
[0081]In Embodiment 2, after Step S40, the color tone adjustment module 103 in Step S43 determines a “scene” of the preliminary image data PID image, on the basis of the preliminary image data PID. The “scene” is selected, for example, from among a plurality of alternatives such as “clear sky,”“sunset s...
embodiment 3
C. Embodiment 3
[0087]In Embodiment 1, the weighting factor α for determining the luminance correction level dL was determined based on the difference dLa between the average value of luminance La1 of pixels in the facial region A1 and the average value of luminance La2 of pixels in the background subject region A2 (see FIG. 4). In Embodiment 3, the weighting factor is determined based on the proportion Rf of the entire image A0 occupied by the facial region A1. The processes of Steps S90-S110 of FIG. 2 are not executed in Embodiment 3, but in other respects Embodiment 3 is the same as Embodiment 1.
[0088]FIG. 7 is a graph Cw specifying the relationship of proportion Rf of the facial region A1 to the weighting factor α of the facial region A1. When the proportion Rf of the facial region A1 is 0, the weighting factor α is 0 as well, and when the proportion Rf of the facial region A1 is 100%, the weighting factor α is 1. α increases along a convex curve in association with increasing Rf...
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