Abstract: Color correction is performed on a first set of three pixel values by determining a color phase of the pixel values. The determined color phase is used to determine a phase difference, and the phase difference is used to control an amount of color phase rotation applied to the chrominance pixel values of the first set. The color phase is also used to determine a first gain, and the first gain is used to control a scaling of the rotated chrominance pixel values, thereby generating color corrected chrominance pixel values. The color phase is also used to determine a second gain, and the second gain is used to control an amount of scaling applied to the luminance pixel value of the first set, thereby generating the color corrected luminance pixel value. How color phase determines phase difference, the first gain and the second gain is changed depending on lighting conditions.

Abstract: Color correction is performed on a first set of three pixel values by determining a color phase of the pixel values. The determined color phase is used to determine a phase difference, and the phase difference is used to control an amount of color phase rotation applied to the chrominance pixel values of the first set. The color phase is also used to determine a first gain, and the first gain is used to control a scaling of the rotated chrominance pixel values, thereby generating color corrected chrominance pixel values. The color phase is also used to determine a second gain, and the second gain is used to control an amount of scaling applied to the luminance pixel value of the first set, thereby generating the color corrected luminance pixel value. How color phase determines phase difference, the first gain and the second gain is changed depending on lighting conditions.

Abstract: An electronic camera apparatus reads out, from an image sensing device, an image signal which represents a color image constructed by a number of pixels to which predetermined colors are assigned and has pieces of luminance information with analog values representing luminances of the pixels, the luminance information being discrete on a time axis, and generates a desired image from the image signal. The apparatus has a luminance correction section.

Abstract: An image processing apparatus includes a replacement unit and interpolation unit. For the pixel value of a pixel that need not be replaced among pixel values contained in original image data, the replacement unit adds replacement information indicating non-replacement of the pixel value to the pixel value, and outputs the pixel value as replacement information-added image data. For the pixel value of a pixel that needs to be replaced, the replacement unit replaces the pixel value by a predetermined pixel value, adds replacement information indicating replacement of the pixel value to the replaced pixel value, and outputs the pixel value as replacement information-added image data.

Abstract: In an image processing method, a square submatrix formed from adjacent original pixels is equally divided into small square regions along the X- and Y-coordinate axes. Approximate points are set at the vertexes of the regions. Interpolation coefficients are derived based on a predetermined interpolation function. Interpolation coefficients normalized so as to adjust the sum of the coefficient values of interpolation coefficients used for one interpolation operation to 2k (k is a positive integer) are calculated, and stored in a coefficient buffer in advance. A new pixel position of each pixel constituting a new image is calculated in accordance with magnifications representing enlargement/reduction ratios along the X- and Y-coordinate axes for an original image. An approximate point closest to the new pixel position is selected as the approximate point of the new pixel position. Interpolation coefficients corresponding to the interpolation original pixels are read out from the coefficient buffer.

Abstract: An image processing apparatus includes a spatial filter and orthogonal transform section. The spatial filter obtains a new luminance value of each pixel of an input image on the basis of a first coefficient having a first filter characteristic which forms the desired spatial frequency adjustment filter characteristic in cooperation with a second filter characteristic, thereby generating a two-dimensional intermediate image which has the adjusted spatial frequency characteristic of the input image.

Abstract: An image processing apparatus for calculating a new luminance value of a central pixel to adjust the spatial frequency characteristics of an input image includes a plurality of subfilters, totalizer, and adder. The subfilters are arranged in parallel with each other for a plurality of pixel groups each made up of one or more pixels in a submatrix. The subfilters multiply the sums of the luminance values of pixels included in corresponding pixel groups by predetermined coefficients corresponding to desired spatial frequency adjustment filter characteristics, and output the products for each submatrix made up of M×M (M is an odd number of 3 or more) pixels centered on pixels constituting an input image for a two-dimensional input image made up of many pixels that are arrayed in a matrix and represent luminance values at positions. The totalizer totals outputs from the subfilters, and outputs the sum as the adjustment amount of the spatial frequency characteristics.

Abstract: An image processing apparatus includes an interpolation unit, compensation value calculation unit, and compensation unit. For an interpolation point selected from an image signal at an interval of n pixels (n is an integer of 2 or more), the interpolation unit interpolates the pixel value of each color data at the interpolation point using the pixel values of pixels of the same color falling within an interpolation region of m×m pixels (m is an integer of 2 or more) centered on the interpolation point, and outputs the pixel value as an interpolated pixel value at the interpolation point for each color data. The compensation value calculation unit generates a pixel compensation value for compensating for the pixel value of the interpolation point using the pixel values of pixels falling within a compensation region of M×M pixels (M is an integer equal to or larger than m and n) centered on the interpolation point.

Abstract: An image processing apparatus includes an interpolation unit, compensation value calculation unit, and compensation unit. The interpolation unit interpolates the pixel value of each color signal at an interpolation point using the pixel values of pixels in the same color falling within a predetermined interpolation region including the interpolation point, and outputs the pixel value as an interpolated pixel value at the interpolation point for each color signal. The compensation value calculation unit generates a pixel compensation value for compensating the pixel value of the interpolation point using the pixel values of a plurality of pixels around the interpolation point that fall within a compensation region wider than and including the interpolation region.

Abstract: In an image processing method, a square submatrix formed from adjacent original pixels is equally divided into small square regions along the X- and Y-coordinate axes. Approximate points are set at the vertexes of the regions. Interpolation coefficients are derived based on a predetermined interpolation function. Interpolation coefficients normalized so as to adjust the sum of the coefficient values of interpolation coefficients used for one interpolation operation to 2k (k is a positive integer) are calculated, and stored in a coefficient buffer in advance. A new pixel position of each pixel constituting a new image is calculated in accordance with magnifications representing enlargement/reduction ratios along the X- and Y-coordinate axes for an original image. An approximate point closest to the new pixel position is selected as the approximate point of the new pixel position. Interpolation coefficients corresponding to the interpolation original pixels are read out from the coefficient buffer.

Abstract: A frequency analyzing device for detecting a signal component of a predetermined analytic frequency to be analyzed in an input signal includes a multiplication circuit and an integration circuit. The multiplication circuit controls a switched capacitor circuit for discretely storing an input signal using a predetermined pulse signal whose frequency changes according to an amplitude of an orthogonal function system signal having the analytic frequency, and outputs charges representing a multiplication result of the input signal and the orthogonal function system signal. The integration circuit integrates the charges output from the multiplication circuit and outputs integration values as signal components of the analytic frequency contained in the input signal.

Abstract: An electronic image sensing apparatus for photoeletrically converting an optical image in an image sensing unit, processing the resultant analog image sensing data, and recording, displaying, outputting, or externally outputting the processed image sensing data includes an analog semiconductor memory, a processor, and a luminance distribution adjustment unit. The analog semiconductor memory temporarily stores the image sensing data from the image sensing unit in the form of an analog value. The processor generates adjustment information for adjusting a luminance distribution of the entire image sensing data on the basis of luminance information of the image sensing data read out from the analog semiconductor memory. The luminance distribution adjustment unit adjusts the luminance distribution of the entire image sensing data from the analog semiconductor memory on the basis of the adjustment information generated by the processor.

Abstract: A signal conversion processing apparatus for temporarily storing an input analog signal and processing the signal to generate a desired output signal includes nonvolatile semiconductor memory sections, an input control section, and a signal processing section. The nonvolatile semiconductor memory sections sequentially store the input analog signal on the basis of a predetermined first control signal in the form of an analog value. The input control section selects a nonvolatile semiconductor memory section, in which the analog signal is to be written, from the nonvolatile semiconductor memory sections on the basis of a predetermined second control signal. The signal processing section performs arithmetic processing of a plurality of analog data read out from the nonvolatile semiconductor memory sections to convert the analog data into a desired output signal in the form of an analog value.

Abstract: A semiconductor memory device includes a memory cell and first and second electrodes. The memory cell has a floating gate formed on a semiconductor substrate via a gate insulating film to be insulated from a remaining part, and a control gate formed on the floating gate via an isolation insulating film. The first electrode is formed on the floating gate via a first insulating film in a region of the floating gate except for a channel region for constituting the memory cell. The second electrode is formed on the floating gate via a second insulating film in a region of the floating gate except for the channel region for constituting the memory cell. When a predetermined voltage is applied to the first and second electrodes, a tunnel current flows through the first and second insulating films.