A signal processing apparatus for deblurring a digital input signal (I(x.sub.i)) comprising one or more processors. The one or more processors are configured to: compute a plurality of local length scales (l.sub.k, l(x.sub.i), λ) from at least one of a local signal resolution (FRC.sub.k) and a local signal-to-noise ratio (SNR.sub.k), and to compute each of the local length scales at a different location (I.sub.k(x.sub.i)) of the digital input signal, each of the different locations comprising at least one sample point (x.sub.i) of the input signal; compute a baseline estimate (ƒ.sub.n(x.sub.i, l.sub.n), ƒ(x.sub.i, l(x.sub.i))) of the input signal based on the local length scales, the baseline estimate representing signal structures of the digital input signal that are larger than the local length scale; and compute a digital output signal (O(x.sub.i)) based on one of (a) the baseline estimate and (b) the digital input signal and the baseline estimate.

An image processing apparatus for determining a focused output image in a passive autofocus system is configured to retrieve a set of input images and compute a baseline estimate for at least one input image. The baseline estimate represents image structures in the input image. The image structures have a length scale larger than a predetermined image feature length scale. The image processing apparatus is further configured to compute a set of output images, wherein each output image of the set of output images is computed based on one of a different input image of the set of input images and the at least one baseline estimate for the different input image and the at least one baseline estimate for a respective different input image. The image processing apparatus is further configured to determine one output image of the set of output images as the focused output image.

A signal processing apparatus for enhancing a digital input signal (I(x.sub.i)) recorded by a recording system having a system response (H(x.sub.i)), is configured to retrieve the digital input signal (I(x.sub.i)) and compute a baseline estimate (ƒ(x.sub.i)) of the digital input signal, the baseline estimate representing a baseline of the digital input signal and comprising features of the digital input signal that are larger than a feature length (fl). The apparatus is further configured to remove the baseline estimate from the digital input signal to obtain an output signal comprising spatial features that are smaller than the feature length, retrieve a characteristic length (cl) of the system response (H(x.sub.i)) and compute the baseline estimate (ƒ(x.sub.i)) using a feature length that is smaller than the characteristic length of the system response (H(x.sub.i)).

A focus detection device calculates a shift amount between a first focus detection signal and a second focus detection signal both generated based on a signal obtained from an image sensor. The device also calculates a conversion coefficient and applies the conversion coefficient to the shift amount to convert the shift amount into a defocus amount of an imaging optical system. The device calculates the conversion coefficient based on at least one of a pupil eccentricity amount and an incident pupil distance, both are dependent on an image height at a focus detection position.

An image processing apparatus includes at least one processor or circuit configured to execute a plurality of tasks including an image acquiring task configured to acquire a first image and a second image that have been obtained by imaging at imaging positions different from each other, an image restoration processing task configured to acquire a first restored image and a second restored image by performing image restoration processing for the first image and the second image respectively, and a pixel increasing processing task configured to acquire a pixel increased image using the first restored image and the second restored image.

A method includes capturing, by a camera disposed behind a display panel of an electronic device, an original image through a semi-transparent pixel region of the display panel. The original image is associated with one or more predetermined point spread functions (PSFs) and includes one or more blurring artifacts. The method further includes estimating an optimal regularization parameter for the original image based on the one or more predetermined PSFs and the one or more blurring artifacts, applying a self-regularizing inverse filter, such as a fast self-regularizing inverse filter, to the original image based on the estimated regularization parameter, and generating a deblurred image based on the self-regularizing inverse filter. Generating the deblurred image includes reconstructing the original image utilizing the self-regularizing inverse filter to remove the one or more blurring artifacts.

An aberration correction method and apparatus. The apparatus includes at least one processor, and an input/output unit configured to receive an captured image, wherein the processor is configured to initialize a first matrix or a second matrix by reducing a matrix of a point spread function (PSF) of a lens included in a capturing device used to capture the captured image, iteratively perform an aberration removal and a noise removal based on the captured image and the first matrix or the second matrix, and output a final original image as a result of the iteratively performing. Here, the first matrix is a matrix obtained by reducing the number of indices indicating light arrival points of the matrix of the PSF, and the second matrix is a matrix obtained by reducing the number of indices corresponding to light arrival points of a transposed matrix of the PSF.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.

In one implementation, an apparatus includes a display having a front surface and a back surface. The display includes a plurality of pixel regions that emit light from the front surface to display a displayed image and a plurality of apertures that transmit light from the front surface to the back surface. The apparatus includes a camera disposed on a side of the back surface of the display. The camera is configured to capture a captured image. The apparatus includes a processor coupled to the display and the camera. The processor is configured to receive the captured image and apply a first digital filter to a first portion of the captured image and a second digital filter, different than the first digital filter, to a second portion of the captured image to reduce image distortion caused by the display.

A system is disclosed for the automated correction of optical and digital aberrations in a digital imaging system. The system includes several main parts, including (a) digital filters, (b) hardware modifications, (c) digital system corrections, (d) digital system dynamics and (e) network aspects. The system solves numerous problems in still and video photography that are presented in the digital imaging environment.