Abstract: An image processing device includes an image-modification processing unit and an adjustment unit. The image-modification processing unit executes first image-modification processing wherein pixels are inserted to or deleted from a subject image in a first direction or pixels in the subject image are shifted in the first direction and second image modification processing wherein pixels in the subject image are shifted in a second direction. The adjustment unit adjusts a position of a shift-border along which the pixels are shifted in the second image-modification processing on the basis of a position of each step in an image caused in the first image-modification processing.

Abstract: A fusible link unit includes a retaining portion that retains a frame portion of a battery. The frame portion is located at a corner portion of the battery. The retaining portion has a pair of leg portions which abut against two side surfaces forming the corner portion of the battery.

Abstract: A connector is provided in which the number of components required for connecting operation can be reduced, and the manufacturing cost and weight thereof can be reduced. A connector housing 11 has an opening portion 11A that accommodates a mating connector when the connector is engaged with the mating connector. The connector housing 11 supports a flat cable 40 so that one end of the flat cable where the conductors 41 are exposed by removing the insulating sheath is arranged at the opening portion 11A. At least one of the conductors 41 exposed at the one end of the flat cable 40 is brought into contact with a terminal of the mating connector when the connector is engaged with the mating connector.

Abstract: The object of the present invention is to provide a disk array device, a failure path specifying method and a program thereof capable of specifying a physical interconnection path where failures occurred.

Abstract: A printer gradation correcting method, comprises the steps of: outputting a color patch image by a printer based on image data of a color patch image; measuring a gradation of the outputted color patch image by a color measuring device so as to obtain a gradation measurement value; and correcting a gradation characteristic of the printer based on the gradation measurement value. The color patch image includes a patch-shaped image having a uniform gradation of a predetermined gradation representative value and gradation fluctuation of a predetermined color component added in the patch-shaped image, and the added gradation fluctuation is structured such that a total of gradation fluctuation measured in a measurement region by the color measuring device becomes a predetermined value. The gradation characteristic of the printer is corrected based on the gradation representative value, the predetermined value of the total of gradation fluctuation, and the gradation measurement value.

Abstract: A flexible flat cable connecting structure for connecting a flexible flat cable in which a plurality of rectangular conductors are provided in parallel and a plurality of connector terminals arranged at an array pitch different from that of the rectangular conductors comprises an intermediate cable arranging member one end of which is coupled to the connector terminals and in which a plurality of branch conductors are provided in parallel which are set to have mutually different longitudinal dimensions according to the array pitch. The intermediate cable arranging member is laid on the flexible flat cable so that the intermediate cable arranging member and the flexible flat cable are in the same plane and form an angle. The other ends of the branch conductors of the intermediate cable arranging member are connected to the respective rectangular conductors.

Abstract: A connector is provided in which the number of components required for connecting operation can be reduced, and the manufacturing cost and weight thereof can be reduced. A connector housing 11 has an opening portion 11A that accommodates a mating connector when the connector is engaged with the mating connector. The connector housing 11 supports a flat cable 40 so that one end of the flat cable where the conductors 41 are exposed by removing the insulating sheath is arranged at the opening portion 11A. At least one of the conductors 41 exposed at the one end of the flat cable 40 is brought into contact with a terminal of the mating connector when the connector is engaged with the mating connector.

Abstract: A printer gradation correcting method, comprises the steps of: outputting a color patch image by a printer based on image data of a color patch image; measuring a gradation of the outputted color patch image by a color measuring device so as to obtain a gradation measurement value; and correcting a gradation characteristic of the printer based on the gradation measurement value. The color patch image includes a patch-shaped image having a uniform gradation of a predetermined gradation representative value and gradation fluctuation of a predetermined color component added in the patch-shaped image, and the added gradation fluctuation is structured such that a total of gradation fluctuation measured in a measurement region by the color measuring device becomes a predetermined value. The gradation characteristic of the printer is corrected based on the gradation representative value, the predetermined value of the total of gradation fluctuation, and the gradation measurement value.

Abstract: 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.

Abstract: 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.

Abstract: A fusible link unit includes a retaining portion that retains a frame portion of a battery. The frame portion is located at a corner portion of the battery. The retaining portion has a pair of leg portions which abut against two side surfaces forming the corner portion of the battery.

Abstract: 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.

Abstract: There is described image-processing methods and image processing apparatus, which enable sharpness, scaling coefficients, and image quality to be adjusted with minimum image noise and minimum image quality deterioration and at high processing speed. One of the image-processing methods for creating processed image data by applying a spatial-filtering processing to source image data, comprises the steps of: setting a predetermined upper-limit value for a variation amount of the source image data, before performing an image-conversion processing through which the source image data are converted to the processed image data by applying the spatial-filtering processing; and performing the image-conversion processing for the source image data within a range of the variation amount limited by the predetermined upper-limit value.

Abstract: 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.

Abstract: 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.

Abstract: An image processing method has the steps of dividing the image information into data of sound pixels and data of defective pixels, calculating an interpolation signal value of each of the defective pixels on the basis of data of a plurality of sound pixels existing in the surrounding area, calculating a provisional correction value on the basis of the signal value and the interpolation signal value of each of the defective pixels, and calculating a modified pixel correction value of each of the defective pixels on the basis of the provisional correction value of each of the defective pixels and the provisional correction value of neighboring defective pixels, and correcting the data of each of the defective pixels by the use of the modified pixel correction value.

Abstract: There is described a method for processing an input image, so as to output a processed image. The method includes the steps of: deriving image characteristic information of a predetermined area, which includes adjacent pixels and is located in a vicinity of an image-processing object pixel other than the adjacent pixels, from information of the adjacent pixels residing in the predetermined area, both the adjacent pixels and the image-processing object pixel being included in the input image; and applying a sharpness-enhancement processing to the image-processing object pixel, based on the image characteristic information. The image characteristic information includes at least one of a sum of differential signal absolute-values between the adjacent pixels residing in the predetermined area, a variance of each signal value of the adjacent pixels residing in the predetermined area and a standard deviation of each signal value of the adjacent pixels residing in the predetermined area.

Abstract: An image of the information of a plurality of images is obtained from each kind of image information source, and the plurality of images are arranged and displayed on the preview screen, the image quality adjustment is conducted for each image.

Abstract: An image processing method, comprising steps of: obtaining input image information including input image data from an input device; discriminating plural subjects existing in the input image data; dividing the input image data into plural subject patterns corresponding to the discriminated plural subjects; obtaining a relationship among the plural subject patterns; determining a processing method for the input image data of the plural subject patterns on a basis of the relationship, and processing the input image data of the plural subject patterns in accordance with the processing method so as to obtain image data.

Abstract: There is described an image-processing method for extracting a main photographed subject from an image, which might be set in various ways in the image corresponding to various kinds of photographic conditions, and further, for making it possible to provide advanced image processing services in a simple manner by employing the results of the extracting operations. The image-processing method includes the steps of: acquiring input image information from an image by means of one of various kinds of image inputting devices; setting a subject pattern including one or more constituent elements from the input image information; applying a multi-resolution conversion processing to the input image information; detecting the constituent elements by employing a decomposed image of a suitable resolution level determined with respect to each of the constituent elements; and extracting the subject pattern from the input image information, based on the constituent elements detected in the detecting step.