Abstract: An image display device includes: an image input unit configured to input an image; a content categorizer configured to determine a content category of the image; a database configured to store adjustment items corresponding to each of a plurality of content categories, the adjustment items being related to sensibility words each representing an impression for images; an adjustment item display configured to display the adjustment items corresponding to the content category, the adjustment item being selectable by a user; a receiver configured to receive set values of the adjustment items selected from the user; an image quality parameter calculator configured to calculate image quality parameters in accordance with the set values of the adjustment items; an image processor configured to perform image processing on the image in accordance with the image quality parameters; and an image display configured to display the processed image.

Abstract: According to one embodiment, a motion vector detection apparatus includes following units. The layering unit generates layers with different resolutions for each of first and second images. The first extraction unit extracts a space candidate vector. The second extraction unit extracts a time candidate vector. The third extraction unit extracts a layer candidate vector. The determination unit determines a motion vector to be assigned to the target block, based on correlations between the target block and blocks, the blocks being located in a layer which corresponds to the second image and being specified by assigning, to the target block, the space, time, and layer candidate vectors.

Abstract: An apparatus for creating an interpolation frame includes a first computing unit that computes a first motion vector in relation to a first block in a first reference frame, a second extracting unit that extracts a second block in a second reference frame based on the first motion vector, a first calculating unit that calculates a correlation between the first block and the second block, a third extracting unit that extracts a third block that is shifted from the second block by a certain number of pixels, a second calculating unit that calculates a correlation between the first block and the third block, and a third computing unit that computes a motion vector for an interpolation block based on a most-highly correlated block-pair.

Abstract: An interpolated image generating apparatus calculates a motion vector reliability level indicating reliability of a motion vector used for inserting an interpolated image, the value of the motion vector reliability level being determined in such a manner that the stronger the correlation is between a source image area and a destination image area that are brought into correspondence with each other by the motion vector, the larger is the value. The apparatus also calculates a failure-preventing vector reliability level indicating reliability of a predetermined failure-preventing vector used for preventing image failures.

Abstract: According to one embodiment, a first extraction unit extracts a first group of pixels having a specific hue from an input image. A second extraction unit extracts a second group of pixels having large distance from a reference axis on a plane defined by a chroma axis and a luminance axis from the first group. A first transform unit executes a plurality of color-transform processing to the second group and obtains a plurality of third groups of pixels as the second group transformed by each color-transform processing. A reliability calculation unit calculates a reliability of each third group. The reliability is larger when pixels of the third group are more located in shape of a straight line on the plane. A selection unit selects a color-transform processing by which the third group has the largest reliability from the plurality of color-transform processing. A second transform unit executes the color-transform processing to the input image to obtain an output image.

Abstract: An area detecting unit detects a first matching area in a first reference block in the first reference frame, a second matching area in a second reference block in the second reference frame. A settling unit settles a secondary motion vector to be assigned to a mismatching area in the each interpolation block, based on surrounding interpolation blocks around the mismatching area. A motion compensating unit assigns an image to the interpolation frame based on the primary motion vector and the secondary motion vector.

Abstract: An image display device includes:an image input unit configured to input an image; a content categorizer configured to determine a content category of the image; a database configured to store adjustment items corresponding to each of a plurality of content categories, the adjustment items being related to sensibility words each representing an impression for images; an adjustment item display configured to display the adjustment items corresponding to the content category, the adjustment item being selectable by a user; a receiver configured to receive set values of the adjustment items selected from the user; an image quality parameter calculator configured to calculate image quality parameters in accordance with the set values of the adjustment items; an image processor configured to perform image processing on the image in accordance with the image quality parameters; and an image display configured to display the processed image.

Abstract: An interpolated image generating apparatus calculates a motion vector reliability level indicating reliability of a motion vector used for inserting an interpolated image, the value of the motion vector reliability level being determined in such a manner that the stronger the correlation is between a source image area and a destination image area that are brought into correspondence with each other by the motion vector, the larger is the value. The apparatus also calculates a failure-preventing vector reliability level indicating reliability of a predetermined failure-preventing vector used for preventing image failures.

Abstract: An image processing apparatus includes a correction-amount calculating unit that calculates a motion-blur correction amount, which takes a larger value as the reproduction speed becomes lower, based on an input reproduction speed; a motion-blur correcting unit that performs scale transformation on a motion vector based on the motion-blur correction amount, acquires low frequency components of a source image and a destination image using an anisotropic Gaussian filter determined by a direction and a size of the motion vector subjected to the scale transformation, and performs edge enhancement on the source image and the destination image based on the low frequency components and high frequency components of the source image and the destination image; and an interpolation-image creating unit that creates the interpolation image using the source image for which the motion blur is corrected, the destination image for which the motion blur is corrected, and the motion vector.

Abstract: A first motion vector points from a source region of a source picture to a destination region of a destination picture. A second motion vector is scaled from the first motion vector based on a first temporal distance between the source picture and the interpolation picture. A third motion vector is scaled from the first motion vector based on a second temporal distance between the destination picture and the interpolation picture. A weight of a first interpolation region of the interpolation picture is calculated using distortion energy of the source region. A first motion compensation picture compensated from the source region to a temporal position of the interpolation picture using the second motion vector, and a second motion compensation picture compensated from the destination region to the temporal position using the third motion vector are calculated.

Abstract: An apparatus for creating an interpolation frame includes a first computing unit that computes a first motion vector in relation to a first block in a first reference frame, a second extracting unit that extracts a second block in a second reference frame based on the first motion vector, a first calculating unit that calculates a correlation between the first block and the second block, a third extracting unit that extracts a third block that is shifted from the second block by a certain number of pixels, a second calculating unit that calculates a correlation between the first block and the third block, and a third computing unit that computes a motion vector for an interpolation block based on a most-highly correlated block-pair.

Abstract: An area detecting unit detects a first matching area in a first reference block in the first reference frame, a second matching area in a second reference block in the second reference frame. A settling unit settles a secondary motion vector to be assigned to a mismatching area in the each interpolation block, based on surrounding interpolation blocks around the mismatching area. A motion compensating unit assigns an image to the interpolation frame based on the primary motion vector and the secondary motion vector.