Image processing system, image processing method, and medium having an image processing control program recorded thereon
Heretofore, an operator has been required to judge the type of image on a display and select any of various effect processings manually, thus automation has been impossible. By totaling luminance values of pixels into a luminance distribution which pixels have been selected by a thinning-out processing for image data (step S 102 ) it becomes possible to count the number of colors used (step S 104 ). As a result, if the number of colors used in image data is large, it can be judged that the image data is of a natural picture. Besides, a contrast enlarging process (step S 110 ), a saturation highlighting process (step S 112 ) and an edge highlighting process (S 114 ), which are suitable for application to a natural picture on the basis of the results of such judgment, can be selected automatically while changing the respective highlighting degrees. Also in a printing process, if an inputted image is a natural picture, there is performed a color transformation using a pre-gray level transformation (S 508 ), while if the image is not a natural picture, there is performed a color transformation using a combination of cache+interpolating operation (S 506 ), and thus it is possible to automatically select a color transformation processing of a small processing volume.
1. An image processing apparatus comprising:
an image data input unit that inputs image data represented by a plurality of pixels;
a luminance distribution calculator that calculates a luminance distribution of the image data;
a number-of-color detector that detects a number of colors by regarding a number of luminance values in the luminance distribution as the number of colors; and
an image discriminator that discriminates a type of image based on the number of colors.
2. An image processing apparatus according to claim 1 , wherein, the image data is represented by plural component values corresponding to luminance, and
the luminance distribution calculator calculates the luminance distribution by a weighting integration of the component values.
3. An image processing apparatus according to claim 1 , wherein the luminance distribution calculator calculates the luminance distribution based on sampled pixels from the plurality of pixels.
4. An image processing apparatus according to claim 1 , further comprising:
a luminance distribution expander that expands the luminance distribution, wherein
the image discriminator discriminates a natural image when the number of colors is not less than a predetermined number; and
the luminance distribution expander expands the luminance distribution when the type of image is considered to be the natural image.
5. An image processing method comprising:
using a computer to carry out the steps of:
inputting image data represented by a plurality of pixels;
calculating a luminance distribution of the image data;
detecting a number of colors by regarding a number of luminance values in the luminance distribution as the number of colors; and
discriminating a type of image based on the number of colors.
6. A computer-readable medium storing a control program to have a computer carry out an image processing method, said method comprising
inputting image data represented by a plurality of pixels;
calculating a luminance distribution of the image data;
detecting a number of colors by regarding a number of luminance values in the luminance distribution as the number of colors; and
discriminating a type of image based on the number of colors.