摘要:
Techniques related to autofocus for imaging devices and, in particular, to generating reliability values associated with phase autofocus shifts are discussed. Such techniques may include performing a curve fitting based on accumulated phase difference values and phase shifts for phase autofocus images and generating a reliability value for a focus phase shift based on the curve fitting.
摘要:
According to one aspect of the present invention, there is provided a digital camera system being capable of taking a frame of image data comprising a plurality of color elements, the system being arranged: to divide the frame image data into a plurality of blocks including a plurality of pixel data; to calculate a predetermined value for the each color element and for each of all or a part of the plurality of blocks; to judge, for each of all or a part of the plurality of blocks, whether the block being likely a part of a grey object or not to cumulate the predetermined values of the blocks judged as being likely a part of a gray object for the respective color elements, and; to decide a first set of digital gains for adjusting white balance based on the cumulated values.
摘要:
The invention relates to a method in digital imaging for adjusting exposure, in which one or more exposure parameters (ET, AG) of a camera device are adjusted in connection with imaging. In the method, a histogram formed from a raw image frame (12) is analysed, from which one or more special values (Rhigh, Rlow) are specified and which compared with a target level (Htgt, Ltgt) set for them, and, if a special value (Rhigh, Rlow) differs from the target level (Htgt, Ltgt), the exposure parameters (ET, AG) are adjusted to achieve the target level (Htgt, Ltgt).
摘要:
The purpose of the present invention is to provide sophisticated AWB technologies. According to one aspect of the present invention, there is provided a technology for adjusting a white balance of a frame of image data including a plurality of color elements. This technology is characterized by comprising: dividing the frame into a plurality of blocks including a plurality of pixel data; judging, for each of all of or a part of the blocks, whether the block is likely to be grey or not, and; deciding gains for adjusting a white balance using the blocks judged as being likely to be grey.
摘要:
The invention relates to a method, apparatus, imaging module and program for improving image quality in a digital image. The digital image according to the invention is captured with an imaging module including an imaging optics (101) and an image sensor (102), where the image is formed through the imaging optics (101) onto the light sensitive image sensor (102). According to embodiments of the present invention vignetting effect of the digital image captured with the imaging module (101, 102) is determined and compensated separately for at least two of the primary color components of the imaging module (101, 102).
摘要:
An digital camera device is disclosed having a digital zoom function in order to form an output image, which device includes a sensor and optics to produce an primary image, a display in which the primary image is arranged to be cropped in connection with the digital zoom function in order to form the said output image, user interface means to set one or more settings relating to the digital zoom function and a image processor which is arranged to put a size for the said output image based on the cropping of the primary image at least in part of an digital zoom range. In the user interface is arranged to be set as the said setting one or more size limit for the said output image and based on the one or more size limit and the size of the cropped primary image, the image processor is arranged to perform scaling operations for the cropped primary image at least in part of the digital zoom range defined by the said one or more size limit. In addition the invention also relates to corresponding methods and program products.
摘要:
Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.