Abstract:
Feature points are extracted from an image of a plurality of frames. A blurring direction component of a previous frame image is judged from motion vectors of the next frame image acquired with refernce to feature points of the extracted previous frame image. Images of the same blurring direction are selected and grouped from the image of a plurality of frames based on that judgment result. After performing position compensation, an additive composite of a grouped composite image is created for each group so that feature points conform to grouped images. Subsequently, inverse transform filter processing is applied to the grouped composite image data and hand shake compensation by gpoup is accomplished which compensates the blurring direction component matched to a group. Upon posion compensation, an additive composite is generated of a hand shake compensated image so that feature points of each grouped composite image conform to hand shake compensation.
Abstract:
The card writer (101) detects whether the sliding member (1) constituting the slide switch of the SD memory card is in the first position or the second position. The device driver (60) of the host computer (100) sets the memory area within the SD memory card to the writable state when the sliding member is in the first position. On the other hand, when the sliding member is in the second position, the device driver sets the memory area to the non-writable state except a part of the memory area. This part is the protected area (25) that is writable even when the protected area (25) is set to the non-writable state.
Abstract:
An image processing apparatus (12) for detecting feature points in inputted images (10, 11) comprising an optical flow detection section (13). The optical flow detection section (13) serves as: a full feature point detection section for detecting as a full feature point a point whose pixel value changes significantly when in whatever direction the pixel is moved; and a semi feature point detection section for detecting as a semi feature point a point whose pixel value hardly changes when the pixel is moved in a certain direction of the image but the pixel value changes significantly when the pixel is moved in other directions. This enables extracting feature points evenly from all portions of the image and enhancing accuracy in alignment when images are synthesized.
Abstract:
The card writer (101) detects whether the sliding member (1) constituting the slide switch of the SD memory card is in the first position or the second position. The device driver (60) of the host computer (100) sets the memory area within the SD memory card to the writable state when the sliding member is in the first position. On the other hand, when the sliding member is in the second position, the device driver sets the memory area to the non-writable state except a part of the memory area. This part is the protected area (25) that is writable even when the protected area (25) is set to the non-writable state.
Abstract:
An image processing apparatus (12) for detecting feature points in inputted images (10, 11) comprising an optical flow detection section (13). The optical flow detection section (13) serves as: a full feature point detection section for detecting as a full feature point a point whose pixel value changes significantly when in whatever direction the pixel is moved; and a semi feature point detection section for detecting as a semi feature point a point whose pixel value hardly changes when the pixel is moved in a certain direction of the image but the pixel value changes significantly when the pixel is moved in other directions. This enables extracting feature points evenly from all portions of the image and enhancing accuracy in alignment when images are synthesized.