摘要:
An image processing method for subjecting captured-image data outputting from an image-capturing device to an optimization processing for appreciation to produce viewing image referred image data. The image processing method has the step of conducting a pre-processing before the optimization processing is carried out, wherein the pre-processing includes the transformation of the frequency characteristic of the captured-image data into the scene-referred frequency characteristic by removing the effect of a frequency characteristic specific to the image-capturing device from the frequency characteristic of the captured-image data.
摘要:
An image processing method to conduct an image processing on image signals indicating an image obtained through photographing by a photographing apparatus for generating image signals for output. The image processing method has a determining process to determine a content of image processing to be conducted on the image signals based on information about environment light in the course of photographing, information about flashlight in the course of photographing, and on at least one of information about zoom magnification in the course of photographing and information about ISO speed.
摘要:
An image processing method to conduct an image processing on image signals indicating a photographed image for generating image signals for output, having the steps of: detecting an area in the photographed image where the mixed ratio of flashlight to environment light in the course of photographing is greater than a prescribed value, based on respective information including information about environment light in the course of photographing, information about flashlight in the course of photographing, and at least one of information about zoom magnification in the course of photographing, information about ISO speed and information about a subject distance in the course of photographing; and determining a content of image processing in accordance with a ratio of the area detected to the total area of the photographed image.
摘要:
There is described an image-processing apparatus, which makes it possible to compensate for the defect pixel without causing a sense of incongruity in the image. The apparatus includes an image signal acquiring section to acquire the image signals representing an image recorded on a recording medium, a recognizing section to recognize a presence or absence of a defect pixel possibly included in the image signals and a compensating section to compensate for the defect pixel. The compensating section compensates for the defect pixel so that first order differential values of image signals of the defect pixel and those of non-defect pixels adjacent to the defect pixel continue to each other. The compensating section applies a multi-resolution conversion processing to the image signals so as to decompose them into high frequency band components and a low frequency band component, signal intensities of which are compensated for.
摘要:
There are described image-processing method and apparatus, which make it possible to reduce the processing load even in the image-processing environment employing the Dyadic Wavelet transform. The apparatus includes a reading section to read an image recorded on a recording medium so as to generate image signals representing the image; a first converting section to apply a multi-resolution conversion processing of at least level 1, which is capable of reducing an image size of the image signals, to the image signals, so as to generate first-converted image signals from the image signals; and a second converting section to apply a Dyadic Wavelet transform of at least level 1 to low frequency band component signals included in the first-converted image signals, so as to generate second-converted image signals from the first-converted image signals. An image size of the first-converted image signals is smaller than that of the image signals.
摘要:
The image for the face candidate region is obtained, extraction conditions are determined for extracting the eye and the mouth pixels from the face candidate region based on the size of the face candidate region. The eye pixels and the mouth pixels are then extracted from the face candidate region based on the determined extraction conditions, and then the area ratio of the eyes and the area ratio of mouth are calculated for the face candidate region based on the eye pixels and the mouth pixels. Next the area ratio for the eyes and mouth is input into the neural network and a determinations is made as to whether the face candidate region is the face of a person using the neural network.
摘要:
The image for the face candidate region is obtained, extraction conditions are determined for extracting the eye and the mouth pixels from the candidate region based on the size of the face candidate region. The eye pixels and the mouth pixels are then extracted from the face candidate region based on the determined extraction conditions, and then the area ratio of the eyes and the area ratio of mouth are calculated for the face candidate region based on the eye pixels and the mouth pixels. Next the area ratio for the eyes and mouth is input into the neural network and a determinations is made as to whether the face candidate region is the face of a person using the neural network.