Abstract: An output value calculating unit 5 performs weighting arithmetic operations on a plurality of filter values calculated by a filter value calculating unit 4 by using a feature quantity detected by a feature quantity detecting unit 1, a directional correlation value calculated by a directional correlation value calculating unit 2 and an amplitude level calculated by an amplitude level calculating unit 3, and multiplies a result of the weighting arithmetic operations by a sensitization magnification to create pixel signals of a correctly exposed image.

Abstract: An output value calculating unit 5 performs weighting arithmetic operations on a plurality of filter values calculated by a filter value calculating unit 4 by using a feature quantity detected by a feature quantity detecting unit 1, a directional correlation value calculated by a directional correlation value calculating unit 2 and an amplitude level calculated by an amplitude level calculating unit 3, and multiplies a result of the weighting arithmetic operations by a sensitization magnification to create pixel signals of a correctly exposed image.

Abstract: An image processing method has an edge intensity value calculating section (4) for calculating an edge intensity value in a neighborhood of a pixel of interest from feature values of micro regions calculated by a feature value calculating section (3); an edge intensity value correcting section (5) for correcting the edge intensity value calculated by the edge intensity value calculating section (4) in accordance with an edge intensity correction curve; and a filter value calculating section (6) for calculating a low-pass filter value of the pixel of interest from image signal values of neighboring pixels having the same color component as the pixel of interest. It corrects the image signal value of the pixel of interest by carrying out weighted addition of the image signal value of the pixel of interest and the low-pass filter value using the edge intensity values before and after the correction.

Abstract: An image processing device includes a first calculation means for calculating a non-capture color signal corresponding to an H-th interpolation color for a pixel of interest, a second calculation means for calculating a non-capture color signal by multiplying a J-th capture color signal corresponding to the capture color for the pixel of interest by the ratio of the H-th two-dimensional low-pass filter output to the J-th two-dimensional low-pass filter output, and a third calculation means for calculating a non-capture color signal corresponding to the H-th interpolation color for the pixel of interest using the calculation result according to the first calculation means and the calculation result according to the second calculation means.

Abstract: The difference between the output of a k-signal nonlinear low-pass filter (8g) and the output of an h-signal nonlinear low-pass filter (8r) is added (44) to the value of the h-th pixel signal (h(i, j)) at the pixel position of interest to obtain the k-th pixel signal (k(i, j)) at the pixel position of interest. Accurate pixel interpolation can be performed with good noise immunity, even at locations where the color signals are uncorrelated.

Abstract: A pixel signal having a k-th spectral characteristic at a pixel interpolation position occupied by a pixel signal having an h-th spectral characteristic is generated from a set of pixel signals arrayed in a two-dimensional plane, each having one of a plurality of spectral characteristics, by calculating a difference between low-frequency components, corresponding to a degree of correlation between pixel signals having the k-th and h-th spectral characteristics in a neighborhood of the pixel interpolation position (8r, 8g, 8b, 24k, 24h, 26), calculating a non-correlation value corresponding to a degree of non-correlation between the pixel signals having the k-th and h-th spectral characteristics in the neighborhood of the pixel interpolation position (7r, 7g, 7b, 23k, 23h, 25), and obtaining the pixel signal having the k-th spectral characteristic at the pixel interpolation position by using the calculated difference and the non-correlation value (27, 28, 29).

Abstract: The difference between the output of a k-signal nonlinear low-pass filter (8g) and the output of an h-signal nonlinear low-pass filter (8r) is added (44) to the value of the h-th pixel signal (h(i, j)) at the pixel position of interest to obtain the k-th pixel signal (k(i, j)) at the pixel position of interest. Accurate pixel interpolation can be performed with good noise immunity, even at locations where the color signals are uncorrelated.

Abstract: An image processing device includes a first calculation means for calculating a non-capture color signal corresponding to an H-th interpolation color for a pixel of interest, a second calculation means for calculating a non-capture color signal by multiplying a J-th capture color signal corresponding to the capture color for the pixel of interest by the ratio of the H-th two-dimensional low-pass filter output to the J-th two-dimensional low-pass filter output, and a third calculation means for calculating a non-capture color signal corresponding to the H-th interpolation color for the pixel of interest using the calculation result according to the first calculation means and the calculation result according to the second calculation means.

Abstract: A pixel signal having a k-th spectral characteristic at a pixel interpolation position occupied by a pixel signal having an h-th spectral characteristic is generated from a set of pixel signals arrayed in a two-dimensional plane, each having one of a plurality of spectral characteristics, by calculating a difference between low-frequency components, corresponding to a degree of correlation between pixel signals having the k-th and h-th spectral characteristics in a neighborhood of the pixel interpolation position (8r, 8g, 8b, 24k, 24h, 26), calculating a non-correlation value corresponding to a degree of non-correlation between the pixel signals having the k-th and h-th spectral characteristics in the neighborhood of the pixel interpolation position (7r, 7g, 7b, 23k, 23h, 25), and obtaining the pixel signal having the k-th spectral characteristic at the pixel interpolation position by using the calculated difference and the non-correlation value (27, 28, 29).

Abstract: An image processing method has an edge intensity value calculating section (4) for calculating an edge intensity value in a neighborhood of a pixel of interest from feature values of micro regions calculated by a feature value calculating section (3); an edge intensity value correcting section (5) for correcting the edge intensity value calculated by the edge intensity value calculating section (4) in accordance with an edge intensity correction curve; and a filter value calculating section (6) for calculating a low-pass filter value of the pixel of interest from image signal values of neighboring pixels having the same color component as the pixel of interest. It corrects the image signal value of the pixel of interest by carrying out weighted addition of the image signal value of the pixel of interest and the low-pass filter value using the edge intensity values before and after the correction.

Abstract: An image processing unit is provided which can solve a problem of a conventional image processing unit in that the control for coding image data is complicated and its circuit scale is large. The image pickup apparatus picks up an image of a subject and converts it to electric signals, thereby outputting image signals. An A/D converter A/D converts the image signals, and outputs them as image data. A fixed length coding circuit breaks down the image data into small unit blocks consisting of a predetermined number of pixels, and carries out fixed length coding after obtaining the average level of the pixel data in each unit block. An exposure controller calculates a luminance level of a whole set of pixel data in the unit blocks, and controls the exposure of the image pickup apparatus so that image data becomes a predetermined luminance level.

Abstract: A power transmission belt having a body with a length, an inside, an outside, and at least one rib on the inside of the body. A canvas layer is provided on the outside of the body. The canvas layer is a plain weave canvas made up of cotton fiber and synthetic fiber which are present in a proportion such that there is at least as much synthetic fiber as there is cotton fiber in the canvas layer. The canvas layer has warp and weft yarns, each with center lines which cross to be biased with respect to the length of the body. The canvas layer is adhered to the body without performing a tentering treatment on the canvas layer.

Abstract: A rewritable recording/display apparatus using a rewritable recording medium in which color development reaction occurs by thermal energy at a predetermined temperature, and in which a color extinguishing reaction occurs by thermal energy at a temperature lower than the color development temperature, and which is capable of repeatingly performing recording and erasing of images. The apparatus also has a color developing heating device for recording an image on the rewritable recording medium by heating the rewritable recording medium, and an erasing heating device for erasing the image after the image has been recorded. Thus, the apparatus is designed so as to have a recording section simplified and reduced in size, and to reduce the maintenance and running cost. A method of erasing a rewritable record enables images to be erased completely or suitably in terms of practice and enables formation of high-quality image after erasing of the previous image.

Abstract: In a scanning and printing apparatus such as a copier or facsimile machine, the same driving system moves the scanning unit and transports paper through the printing unit. One edge of the paper is held by a clamping mechanism that is driven together with the scanning unit. In a copier, signals from the scanning unit can be sent directly to the printing unit for simultaneous scanning and printing, which automatically synchronizes the scanning and printing speeds. Alternatively, the signals can be temporarily stored, and scanning and printing can be performed in opposite directions of motion. For color scanning and printing, the scanning unit has filters that spectrally match the links in the printing unit. The apparatus is compact and economical because it has only a single driving mechanism and requires minimal signal interfacing.

Abstract: Paper money such as bank notes of various denominations are dispensed by an apparatus having bank note storing cases including spaces which are adapted to store in a packed state sheets of the bank notes classified in accordance with the denominations, a note removal device provided at the note delivering end of each space in the note storing cases for taking the notes out of the note storing cases, and a note lifting device adapted to be selectively positioned in alignment with the note removal device for receiving the notes taken out by the note removal device. Preferably, each note removal device has a suction head and note removal rollers, and the note lifting device is a note kick-up roller, a stop member for dressing the leading edges of the notes, and a cam for regulating the position of the stop member in accordance with the width of the notes of the pertinent denomination.