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:
An image processing apparatus includes a division unit configured to divide an image into a plurality of areas, a calculation unit configured to calculate a feature amount for each division area, an area category determination unit configured to determine for each division area at least a night scene category or an under-exposure category based on the calculated feature amount, an entire category determination unit configured to determine a category of the entire image based on the result of category determination, and a processing unit configured to perform correction processing on the image based on the result of category determination by the entire category determination unit.
Abstract:
A blurring process is performed on an addition area including a point light source area detected in an image to be processed so that the nearer to the circumference of the addition area, the higher the luminance value while an addition coefficient is being increased according to a distance from the center.
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:
In case of an image region having a property of abrupt changes in luminance and tint, even when a region made up of pixels having luminance values and tint levels similar to those of one point designated by the user is extracted as a correction region with reference to the user designated point, it is difficult to extract a region to be corrected without omission. To solve this problem, a user instruction indicating a point inside or near an image region which is to undergo correction is input, and a plurality of origin pixels corresponding to start points of region expansion are set in a region which includes the input point and has a predetermined size. The region expansion is executed from each origin pixel, and a correction region is decided according to the result of the region expansion.
Abstract:
An image processing apparatus for applying a color balance correction to input image data, comprises a first highlight color calculation unit which estimates a light source at the time of shooting from pixel values of the image data, converts color values of the image data based on a condition of the estimated light source at the time of shooting, and calculates a first highlight color; a second highlight color calculation unit which calculates a second highlight color from the image data; a third highlight color calculation unit which calculates a third highlight color based on a positional relationship between the first highlight color and the second highlight color on a color space; and a correction unit which attains the color balance correction by converting the pixel values of the image data using the third highlight color.
Abstract:
An image processing apparatus includes a division unit configured to divide an image into a plurality of areas, a calculation unit configured to calculate a feature amount for each division area, an area category determination unit configured to determine for each division area at least a night scene category or an under-exposure category based on the calculated feature amount, an entire category determination unit configured to determine a category of the entire image based on the result of category determination, and a processing unit configured to perform correction processing on the image based on the result of category determination by the entire category determination unit.
Abstract:
When printing by generating a composite low-frequency image based on an input image, performing dodging processing, and changing a size of the input image to an output image size, if the output image size is much smaller than the input image size, wastefulness occurs in the composite processing of the low-frequency image, and the overall performance of the printing process deteriorates. To solve these problems, a plurality of blurry images having a different blurriness level from an input image are generated, print setting information to be used in printing of the input image is input, a size of a composite low-frequency image is calculated based on the print setting information, a composite low-frequency image is generated in the calculated size from the plurality of blurry images, and dodging processing is performed on the input image using the generated composite low-frequency image.
Abstract:
An embedded system of a digital camera or printer has limited available memory resources. Under such environment, devices are required to detect a red-eye region from a high-resolution image. To solve this problem, an input image is divided into band images each including a predetermined number of lines, so that an overlap area exists between neighboring band images, and candidate pixels which form an image region exhibiting poor color tone are extracted for each band image. The band image which is to undergo characteristic amount determination is determined based on the position of the candidate region which includes the candidate pixels in the overlap area.
Abstract:
An image processing apparatus configured to detect an image region indicating a poor color tone of eyes from candidate regions includes: a first determination unit configured to perform a determination relating to an evaluation amount with respect to the poor color tone based on a predetermined color component in a target candidate region, and the evaluation amount in a peripheral region of the candidate region, a second determination unit configured to update the candidate region based on the first determination result, and to perform a determination relating to the evaluation amount or a predetermined color component with reference to pixels in an updated second candidate region, and a third determination unit configured to update the second candidate region based on the second determination result, and to perform a determination relating to a characteristic amount of a peripheral region with reference to pixels in a peripheral region of an updated third candidate region. A calculation amount of the third determination is greater than a calculation amount of the first or second determination.