Abstract: Methods, machines, and machine-readable media for processing multiple exposure source images, including a reference image and one or more non-reference images, are described. In one aspect, respective sets of motion vectors that establish correspondences between respective pairs of the source images are calculated. Ones of the source images are warped to a reference coordinate system based on the sets of motion vectors. For each of the non-reference ones of the warped images, a respective set of one or more measures of alignment confidence between the non-reference warped image and the reference image in the reference coordinate system is computed. Saturated pixels and unsaturated pixels are identified in the warped images. An output image with pixel value contributions from unsaturated pixels in the warped images is generated based on the computed alignment confidence measures.

Abstract: A method, apparatus, and system are disclosed for selecting quality images from multiple captured images. One embodiment is an image capturing system. The system includes hardware for capturing a plurality of consecutive images and a processor for determining a quality indication for the consecutive images and for selecting one of the consecutive images based on the quality indication.

Abstract: Peteye is the appearance of an unnatural coloration (not necessarily red) of the pupils in an animal appearing in an image captured by a camera with flash illumination. Systems and methods of detecting and correcting peteye are described. In one aspect a classification map segmenting pixels in the input image into peteye pixels and non-peteye pixels is generated based on a respective segmentation condition on values of the pixels. Candidate peteye pixel areas are identified in the classification map. The generating and the identifying processes are repeated with the respective condition replaced by a different respective segmentation condition on the pixel values.

Abstract: Processing of a digital image includes applying a function to a plurality of pixels in the image, the function relating a noise statistic to pixel intensity values. By applying the noise statistic function, a noise statistic value is produced for each of the pixels. Each of the pixels is processed with respect to its noise statistic value.

Abstract: Representations of an input signal at different lower resolutions are obtained, where n denotes a level of resolution, and where 0?n?N. Level n=N corresponds to the representation having the lowest resolution, and level n=0 corresponds to the input signal. The resolution increases as level n decreases. The nth level representation is used to estimate and remove low frequency error in the n?1th level representation. Then application-specific processing is performed on the n?1th level representation.

Abstract: A method and system for deblurring an image based on motion tracking. Light is recorded at an image sensor of an imaging device to capture an image. Motion of said image sensor is recorded at a motion sensor of the imaging device during the recording of the light at the image sensor. A blur kernel is generated based on the motion.

Abstract: Denoising of a plurality of pixels of a color digital image includes analyzing the plurality of pixels to identify those pixels having a high likelihood of containing significant noise; and forcing those pixels having a high likelihood of containing significant noise to be photometrically coherent with nearby pixels having a lower likelihood of containing significant noise.

Abstract: A method for deblurring an image. A first image is captured. A second image is captured, wherein the second image is more blurred and more exposed than the first image. The second image is deblurred based on the first image.

Abstract: A method and system for automatically adjusting exposure parameters of an imaging device. Motion of the imaging device is detected using a motion sensor of the imaging device. Exposure parameter information for the imaging device is accessed. At least one exposure parameter is automatically adjusted based on a measure of the motion and the exposure parameter information.

Abstract: A method for determining an indication of how well-focused an image is. An image is divided into a plurality of blocks. At least one local measure is determined for at least one block of the plurality of blocks. At least one global figure-of-merit is determined for the image based on the local measure. An indication of focus is determined based on the global figure-of-merit.

Abstract: A method performed by a processing system is provided. The method comprises computing an auto-correlation of sharp channel information of a digital image, computing a cross-correlation between the sharp channel information and blurred channel information of the digital image, and estimating a blur kernel using the auto-correlation and the cross-correlation.

Abstract: Provided is a Pb-free solder alloy used for mounting electronic parts on a printed circuit board. The Pb-free solder alloy is highly resistant to oxidation and impact. The Pb-free solder alloy includes Ag of 2.8 wt % to 4.2 wt %, Cu of 0.3 wt % to 0.8 wt %, Ge of 0.0001 wt % to 0.01 wt %, In of 0.001 wt % to 0.2 wt %, and the balance of Sn. The Pb-free solder alloy having this composition also has a high shear strength and low brittleness factor after bonding. Thus, the Pb-free solder alloy has high quality mechanical properties, to form a high quality joint.

Abstract: An image sensing device and a method of capturing an electronic representation of an image includes a plurality of photosensors arranged in one or more arrays, and a filter associated with each of the photosensors. The photosensors and their respective output signals are divided into a plurality of color channels. At least one of the color channels is divided into a plurality of sub-channels. Each of the sub-channels registers light in spectral bands which approximate the color of the respective color channel. However, the first sub-channel registers light in a spectral band which is broader in bandwidth than the second sub-channel.

Abstract: Cameras, optical systems, imaging methods and optical filter configuration methods are described. According to one embodiment, a camera includes an image device configured to receive light of a subject and to provide an image representation of the subject from the light, wherein the image representation is usable to generate a visible image of the subject, a lens system optically coupled with the image device and configured to direct the light to the image device, wherein the image device is configured to generate the image representation while having a first sensitivity to a first wavelength of light and a second sensitivity to a second wavelength of light different than the first sensitivity, and a filter optically coupled with the lens system and corresponding to the image device wherein the filter is configured to pass a first quantity of photons having the first wavelength of light for the subject and a second quantity of photons having the second wavelength of light for the subject.

Abstract: A computer method for transforming a sensor color space of a digital image to standard color space. The color pixels in the sensor color space digital image are grouped and multiplied by multiple color conversion matrices without amplifying sensor noise. Different color conversion matrices are used for different parts of the image. The sum of the color error and amplified noise is minimized.