摘要:
The present invention discloses an image sharpness processing apparatus and an image sharpness processing method thereof. The apparatus comprises an image capturing module and a processing module. The image capturing module captures an image having a plurality of pixels. The processing module gains a characteristic value corresponding to each pixel by analyzing each pixel in the image. The processing module calculates a first sharpening compensation value and a second sharpening compensation value of each pixel by using a first sharpening algorithm and a second sharpening algorithm respectively, and determines a weight value of the first sharpening algorithm and the second sharpening algorithm by the characteristic value. The processing module calculates a third sharpening compensation value according to the first sharpening compensation value and the second sharpening compensation value, so as to adjust the sharpness of the image.
摘要:
A method for analyzing object motion in multi frames adapted to an image capturing device is provided. Firstly, a plurality set of first sum of absolute difference (SAD) are obtained according to noise of the image capturing device under a plurality of light settings. Next, two frames are captured under a picturing light setting of the light settings. Then, a plurality of second SAD between the two frames are calculated. Afterwards, a plurality of object block within vein tracking of the object are found. Next, a local motion vector of each object block is respectively calculated according to the second SAD. Then, a first reliability of each object block is respectively calculated according to the second SAD and the set of the first SAD corresponding to the picturing light setting. Afterwards, the local motion vectors are estimated according to the first reliability to obtain a global motion vector.
摘要:
A method for compensating image data is adapted for an image sensor. The image sensor has a plurality of photo sensors arranged in an effective region and an optical black region. The method for compensating image data includes a plurality of monochromatic light representative values Si corresponding to pixel positions i is extracted from the photo sensors of the optical black region; a plurality of monochromatic image intensity values VO is extracted from the photo sensors of the effective region; the monochromatic light representative values Si are converted respectively to a plurality of monochromatic compensation values f(Si); and compensated image data VF is output after compensating the monochromatic image intensity values VO respectively based on the pixel positions i and the corresponding monochromatic compensation values f(Si). Through the method for compensating image data, a smear effect in the effective region can be compensated effectively.
摘要:
A method for automatically rectifying business card presentation angle is described. The method is applicable to a mobile electronic device to automatically rectify a presentation angle of a shot business card image. Firstly, maintain character pixels of the shot business card image, and divide the character pixels into character groups by determining whether the pixel pitch is larger than a predetermined value. Next, obtain a first axis and a second axis of the character groups. After that, calculate an included angle formed between the first axis and the second axis, and adjust the oblique character groups through angles obtained for correction. Then, adjust aspect ratios of all the character groups after angle correction according to appropriate character aspect ratios, to make the displayed font seem normal. Finally, generate a corrected business card image according to the character groups after correction.
摘要:
An automatic focusing method and device in a high-noise environment are used for determining a focusing distance between a digital imaging device and an object to be photographed. The automatic focusing method includes the steps of capturing M pre-photographed images at different object distances respectively; loading the pre-photographed images; superposing every N (N
摘要:
A method for generating an all-in-focus image is provided. In the method, a plurality of frames including one source frame and several reference frames captured at different focus lengths are obtained. After performing a motion compensation procedure on the frames, for each pixel position belonging to an edge, a characteristic similarity between the source frame and each reference frame is calculated respectively to accordingly select a plurality of qualified reference frames among the reference frames. The method further includes determining a first type color space component of the pixel position within an all-in-focus image by an edge sharpness corresponding to the pixel position within each of the source frame and the qualified reference frames, and determining a second type color space component of the pixel position within the all-in-focus image by an color brightness corresponding to the pixel position within each of the source frame and the qualified reference frames.
摘要:
A method for generating an all-in-focus image is provided. In the method, a plurality of frames including one source frame and several reference frames captured at different focus lengths are obtained. After performing a motion compensation procedure on the frames, for each pixel position belonging to an edge, a characteristic similarity between the source frame and each reference frame is calculated respectively to accordingly select a plurality of qualified reference frames among the reference frames. The method further includes determining a first type color space component of the pixel position within an all-in-focus image by an edge sharpness corresponding to the pixel position within each of the source frame and the qualified reference frames, and determining a second type color space component of the pixel position within the all-in-focus image by an color brightness corresponding to the pixel position within each of the source frame and the qualified reference frames.
摘要:
A method for reducing smear effects of a dynamic image is for an image sensor. The image sensor converts a shot image picture into image data, and the image data is divided into an effective region, an upper optical black region (UOB), and a lower optical black region (LOB). The method includes capturing two continuous image data to serve as a first frame image and a second frame image; calculating brightness difference values between individual pixels at corresponding pixel positions of the LOB of the first frame image and the UOB of the second frame image; comparing the brightness difference values with a threshold; obtaining positions to be compensated in the UOB of the second frame image, when the UOB of the second frame image requires brightness compensation; and compensating brightness values of pixels in the effective region of the second frame image corresponding to the positions to be compensated.
摘要:
A method for compensating image data is adapted for an image sensor. The image sensor has a plurality of photo sensors arranged in an effective region and an optical black region. The method for compensating image data includes a plurality of monochromatic light representative values Si corresponding to pixel positions i is extracted from the photo sensors of the optical black region; a plurality of monochromatic image intensity values VO is extracted from the photo sensors of the effective region; the monochromatic light representative values Si are converted respectively to a plurality of monochromatic compensation values f(Si); and compensated image data VF is output after compensating the monochromatic image intensity values VO respectively based on the pixel positions i and the corresponding monochromatic compensation values f(Si). Through the method for compensating image data, a smear effect in the effective region can be compensated effectively.
摘要:
A method of multi-frame image noise reduction suitable for an image-capturing device includes following steps: obtaining a current frame and multiple reference frames; defining a mask and a target point in the mask; judging whether the target point pixel of the current frame is on an edge according to an edge map of the frame; when the pixel is on the edge, using the pixels in the reference frames on the edge to calculate a replacement result; when the target point pixel is not on the edge, using the pixels in the reference frames surrounding the target point to calculate a replacement result; after that, generating a pixel corresponding to the position of the target point in an output image according to the replacement result; further, moving the mask and going back to judge whether the pixel of the target point of the current frame is on the edge.