Abstract: An image processing device includes an image input portion, a motion vector acquisition portion and a distortion component estimation portion. The image input portion inputs a target image which is an image to be processed. The motion vector acquisition portion acquires a motion vector generated by relative movement with respect to a subject drawn in the target image when an imaging device which has generated the target image generates the target image. The distortion component estimation portion estimates a rolling shutter distortion component of the target image based on the motion vector.

Abstract: An image processing device includes an image input portion, a motion vector acquisition portion and a distortion component estimation portion. The image input portion inputs a plurality of frame images. The motion vector acquisition portion acquires an amount of parallel movement between two frame images. The distortion component estimation portion performs approximation such that a motion matrix indicating a motion between the frame images consists only of a parallel movement component and a rolling shutter distortion component, uses the amount of parallel movement to calculate, for each of the frame images, a tentative distortion coefficient included in the rolling shutter distortion component and uses the plurality of tentative distortion coefficients calculated to estimate a distortion coefficient.

Abstract: (Problem) To facilitate setting of an image display style and selection of images in an image display apparatus with a touch screen. (Solution to Problem) Thumbnails included in an area designated by a pinch gesture are all specified. If it is not true that “the thumbnails included in the designated area are all displayed in the selected style” (S2004, No), the thumbnails included in the designated area are all displayed in the selected style (S2005), and the status is set to selected state (S2006). If it is true that “the thumbnails included in the designated area are all displayed in the selected style” (S2004, Yes), the thumbnails included in the designated area are all displayed in unselected style (S2007), and the status is set to unselected state (S2008). If the gesture is continuously changed to a pinch-out gesture or a pinch-in gesture (S2010, No), the selected area or the unselected area are expanded or reduced depending on the status (S2014, S2015).

Abstract: An image processing device includes: processing pixel group determination unit that determines a to-be-processed pixel group from a plurality of frame images of picture signals input based on a first predetermined rule and that determines a processed pixel group from the processed frame image stored based on a second predetermined rule; frequency component processing unit that extracts at least a temporal frequency component from the to-be-processed pixel group and the processed pixel group, that executes predetermined coefficient processing on a temporal high-frequency component of the temporal frequency component and that acquires the executed to-be-processed pixel group; processing completion frame generation unit that generates a processing completion frame image from the executed to-be-processed pixel group; and image output unit that outputs the processing completion frame image and that stores the processing completion frame image in the processed frame storage unit, in which the frequency component pr

Abstract: An image data processing method for creating a clear blur-compensated image; the method calculates the motion data between a reference image and a target image, calculates difference in pixel value between the reference image and the target image for every block matched by the motion data, calculates, based on the difference in pixel value, the blending ratio between the reference image and the target image for each block, and creates a synthesized image by synthesizing the reference image and the target image according to the motion data and the blending ratio. An image processing apparatus implementing the image data processing method noted above is also disclosed.

Abstract: A method and apparatus for partially up/downscaling an image encoded on a macroblock basis. The method and apparatus performs operations of: storing the encoded image; creating map data from bitstream of the encoded image to decode at least one macroblock of the encoded image, creating a shrunken image of a predetermined size based on resolution of a display device, storing the map data and the shrunken image so as to relate with the encoded image; outputting the shrunken image related with the encoded image to be displayed based on a control request received from an input device; determining at least one macroblock to be decoded based on a display area of the shrunken image; partially decoding the encoded image for the determined macroblock using the map data; and outputting to the display device, the image data of the display area of the partially decoded image.

Abstract: A panoramic image producing apparatus provides an intensity image production unit which produces intensity images from an input source image captured by an imaging device, a reference image data storage unit for storing a reference image which is used to compute the motion data of the intensity image and its absolute motion data, an absolute motion data calculation unit which uses the intensity image of the target image by first computing its relative motion data with respect to the reference image and using its result to compute the absolute motion data with respect to the target image, an image stitching unit to produce a panoramic image by using the absolute motion data computed above to stitch together the input source images, and a reference image setting unit which sets the target image as the new reference image under certain conditions.

Abstract: A method and apparatus for partially up/downscaling an image encoded on a macroblock basis utilizing a computer. The method and apparatus performs operations of: storing the encoded image; creating map data from bitstream of the encoded image to decode at least one macroblock of the encoded image, creating a shrunken image of a predetermined size based on a screen resolution of a display device, storing the map data and the shrunken image so as to relate with the encoded image in the storage device; outputting the shrunken image related with the encoded image to be displayed based on a control request received from an input device, determining at least one macroblock to be decoded based on a display area of the shrunken image; partially decoding the encoded image for the determined macroblock using the map data; and outputting to the display device, the image data of the display area of the partially decoded image.

Abstract: An image processing device includes an image input portion, a motion vector acquisition portion and a distortion component estimation portion. The image input portion inputs a target image which is an image to be processed. The motion vector acquisition portion acquires a motion vector generated by relative movement with respect to a subject drawn in the target image when an imaging device which has generated the target image generates the target image. The distortion component estimation portion estimates a rolling shutter distortion component of the target image based on the motion vector.

Abstract: An image identification method for classifying block images of input image data into one of predetermined categories; the method includes the steps of: dividing image data into multiple blocks to produce block images, processing the feature quantity of each block image by their color space information and frequency component, learning separating hyperplanes that indicate boundaries of each category by reading in training data image that have labeled categories for each block and processing image feature quantity for each block of an training data image, and classifying respective block image to a category according to the distance from the separating hyperplane of each category for a newly acquired image to obtain the image feature quantity of block images. An imaging apparatus implementing the image identification method noted above is also disclosed.

Abstract: An image processing device includes an image input portion, a motion vector acquisition portion and a distortion component estimation portion. The image input portion inputs a plurality of frame images. The motion vector acquisition portion acquires an amount of parallel movement between two frame images. The distortion component estimation portion performs approximation such that a motion matrix indicating a motion between the frame images consists only of a parallel movement component and a rolling shutter distortion component, uses the amount of parallel movement to calculate, for each of the frame images, a tentative distortion coefficient included in the rolling shutter distortion component and uses the plurality of tentative distortion coefficients calculated to estimate a distortion coefficient.

Abstract: An image processing method for reducing noise of an image to be filtered; the method includes a step of creating shrunken image of shrinking ratio r×r (where r is a natural number) by averaging the pixel values for each pixel in a block for every r pixels, a step of obtaining the pixel value in the shrunken image that correspond to the focus pixel in the source image by performing linear interpolation from the shrunken image pixels, a step of determining the noise reduction filter from the focus pixel and reference pixel in the shrunken image, and a step of computing the compensated pixel value of the focus pixel in the source image by weighted sum of each pixel value applying the filter to the focus pixel in the source image and the corresponding shrunken pixel.

Abstract: Multi-resolution images of a reference image and a target image are generated. Then, whole-range matching is performed on an image of a lower resolution to detect a two-dimensional displacement between the images. Block matching is performed on an image of a higher resolution to detect a displacement at each feature point. The accuracy of motion data is increased by correcting the motion data with an image of a higher resolution by using the previously calculated motion data of the lowest resolution through higher resolutions as an initial value.

Abstract: An image data processing method for sharpening a captured image; the method defines a first transformation equation to change the pixel values of a defocused image into a focused image using the coordinates of the defocused image and the focused image as arguments, calculates a DetailedFocus function from the optimal solution of the first transformation equation by giving the pixel values of the focused image and the defocused image as educational data, extracts a predetermined number of important points on the DetailedFocus function, defines a second transformation equation to change the pixel values of the important points of a defocused image into a focused image using the coordinates of the defocused image and the focused image as arguments, calculates a SmartFocus function from the second transformation equation, and produces a focused image from a defocused image using the SmartFocus function.

Abstract: A method for partially up/downscaling an image encoded on a macroblock basis utilizing a computer, includes: a step of storing the encoded image in a storage device of the computer; a step of creating map data from bitstream of the encoded image, the map data being utilized to decode at least one macroblock of the encoded image, creating a shrunken image of a predetermined size based on a screen resolution of a display device, and storing the map data and the shrunken image so as to relate the map data and the shrunken image with the encoded image in the storage device; a step of outputting, to the display device, the shrunken image related with the encoded image to be displayed based on a control request received from an input device; a step of determining at least one macroblock to be decoded based on a display area of the shrunken image; a step of partially decoding the encoded image for the determined macroblock using the map data; and a step of outputting to the display device, the image data of the disp

Abstract: A method for capturing an image using an image capturing module with multiple pixels configured in a 2-dimensional matrix and a focal plane electronic shutter function which sequentially slides the exposure timing by constant interval by pixel group which is a unit of predetermined number of the pixels while scanning; the method includes an image data input process for detecting shutter operation, obtaining a reference image while skipping one or more of the pixel groups by sequentially sliding the exposure timing by the constant interval, and obtaining a target image while not skipping pixel groups to be captured, a motion data detection process for calculating the motion data of the target image based on the reference image, and a distortion compensation process for compensating for distortion in the target image according to the motion data.

Abstract: An image processing device includes: processing pixel group determination unit that determines a to-be-processed pixel group from a plurality of frame images of picture signals input based on a first predetermined rule and that determines a processed pixel group from the processed frame image stored based on a second predetermined rule; frequency component processing unit that extracts at least a temporal frequency component from the to-be-processed pixel group and the processed pixel group, that executes predetermined coefficient processing on a temporal high-frequency component of the temporal frequency component and that acquires the executed to-be-processed pixel group; processing completion frame generation unit that generates a processing completion frame image from the executed to-be-processed pixel group; and image output unit that outputs the processing completion frame image and that stores the processing completion frame image in the processed frame storage unit, in which the frequency component pr

Abstract: A motion vector calculation method includes: processing for calculating multi-resolution data up to a predetermined resolution level L from a plurality of inputted image data; and processing for estimating motion vectors per resolution executing a matching step for temporarily calculating motion vectors minimizing an energy function within a predetermined range of the input motion vectors and a smoothing step for finally calculating the motion vectors by averaging the surrounding data. By using the motion vectors of the resolution level L finally calculated as input motion vectors of a further higher resolution level L-1, the processing for estimating motion vectors per resolution is successively repeated on image data of a high resolution, thereby calculating the motion vectors.

Abstract: Multi-resolution images of a reference image and a target image are generated. Then, whole-range matching is performed on an image of a lower resolution to detect a two-dimensional displacement between the images. Block matching is performed on an image of a higher resolution to detect a displacement at each feature point. The accuracy of motion data is increased by correcting the motion data with an image of a higher resolution by using the previously calculated motion data of the lowest resolution through higher resolutions as an initial value.

Abstract: Multi-resolution images of a reference image and a target image are generated. Then, whole-range matching is performed on an image of a lower resolution to detect a two-dimensional displacement between the images. Block matching is performed on an image of a higher resolution to detect a displacement at each feature point. The accuracy of motion data is increased by correcting the motion data with an image of a higher resolution by using the previously calculated motion data of the lowest resolution through higher resolutions as an initial value.