Abstract:
In an image processing apparatus for carrying out a plurality of correction processes on an input image, a multi-dimensional histogram of the input image is calculated, and a feature amount of the input image for which a specific correction process has been carried out is analyzed based on the multi-dimensional histogram. Then, based on the result of the analysis, correction parameters to be used for another correction process are calculated.
Abstract:
An image processing method is a method for correcting both an image quality of an overall image and an image quality of a partial image with excellent balance.
Abstract:
An image processing apparatus includes a unit configured to calculate a plurality of characteristic amounts from an input image, a unit configured to calculate a first multidimensional lookup table based on the characteristic amounts, a unit configured to calculate attribute information of a specific object from the input image, a unit configured to calculate a second multidimensional lookup table based on the attribute information, a unit configured to generate a control parameter from the input image, an interpolation unit configured to apply the first and second multidimensional lookup tables to the input image, and a control unit configured to control interpolation intensity of the second multidimensional lookup table using the control parameter.
Abstract:
A gradation correcting curve to correct a gradation of an input image is generated. Gradation correction based on the gradation correcting curve is made to a boundary pixel of a color reproduction space at the same saturation as that of a target lattice point and at a hue of the target lattice point. An equal saturation line is set by using the boundary pixel of the color reproduction space after the gradation correction. A saturation correction amount of the target lattice point is decided based on the gradation correcting curve and the equal saturation line.
Abstract:
A gradation-correcting curve to correct a gradation of an input image is generated. Gradation correction based on the gradation-correcting curve is made to a boundary pixel of a color-reproduction space at the same saturation as that of a target lattice point and at a hue of the target lattice point. An equal-saturation line is set by using the boundary pixel of the color-reproduction space after the gradation correction. A saturation-correction amount of the target lattice point is decided based on the gradation-correcting curve and the equal-saturation line.
Abstract:
The present invention provides an image processing device which adaptively switches between emphasis of a specified color in an image and emphasis of the entire image. The image processing device of the present invention includes: a storage unit storing a plurality of color emphasis tables for emphasizing a specified color; a calculation unit calculating magnitudes of respective color emphasis effects when the plurality of color emphasis tables stored by the storage unit is applied to the image; a selection unit selecting one or more color emphasis tables according to the magnitudes of the color emphasis effects; and a correction unit correcting the specified color in the image by applying the color emphasis tables selected by the selection unit to the image.
Abstract:
An image processing method is a method for correcting both an image quality of an overall image and an image quality of a partial image with excellent balance.
Abstract:
An image processing apparatus includes a unit configured to calculate a plurality of characteristic amounts from an input image, a unit configured to calculate a first multidimensional lookup table based on the characteristic amounts, a unit configured to calculate attribute information of a specific object from the input image, a unit configured to calculate a second multidimensional lookup table based on the attribute information, a unit configured to generate a control parameter from the input image, an interpolation unit configured to apply the first and second multidimensional lookup tables to the input image, and a control unit configured to control interpolation intensity of the second multidimensional lookup table using the control parameter.
Abstract:
An amount of color correction of a facial region is modified based on changes caused in face average values by white balance correction. Also, the amount of color correction of the facial region is modified according to luminance of pixels of interest to perform optimum color correction on the facial region and a highlight region.
Abstract:
An amount of color correction of a facial region is modified based on changes caused in face average values by white balance correction. Also, the amount of color correction of the facial region is modified according to luminance of pixels of interest to perform optimum color correction on the facial region and a highlight region.