Abstract: An apparatus for capturing an image of a scene including an image capturing unit and a data processing unit. The image capturing unit may generate light field data and may include a first optical having at least two portions with at least two different fields of view, a sensing unit having a plurality of photosensors, and a second optical unit interposed between the first optical unit and the sensing unit. The data processing unit may perform at least one of change of view of the image and refocusing the generated light field data. The sensing unit may be configured to obtain an image with at least two magnifications corresponding to regions of the scene.

Abstract: An apparatus and method for capturing digital images are provided. The digital capturing apparatus includes an image pickup unit obtaining light field data to change a view of a captured image and refocus the captured image, and a data processor generating a refocusing image using the light field data, wherein the image pickup unit performs optical modulation on light beams to obtain light field data of the modulated light beams so that the light beams are identified when two or more of the light beams overlap, and the data processor demodulates the light field data to obtain light field data of the light beams not subjected to the optical modulation.

Abstract: An apparatus and method for digital auto-focus are provided. The apparatus includes a local block generator generating a local block from an input image, a distance-estimation unit estimating distances of each image of the local block, a focal-distance-setting unit setting one of the estimated distances of the local block image as a focal distance of the input image, a reblurred-image generator generating a reblurred image from the local block image, a reconstructed image generator generating an in-focus image focused to the estimated distances from the local block image, a local-block-image-matching unit matching the reblurred image to the in-focus image with different weight values based on the set focal distance, and a final-image generator generating a final image by summing the matched local block images.

Abstract: An apparatus and method for restoring an image are provided. The apparatus includes an edge-strength-detection module which detects an R-channel edge strength, a G-channel edge strength and a B-channel edge strength from an input image and generates an R-channel edge map, a G-channel edge map and a B-channel edge map based on the R-channel edge strength, the G-channel edge strength and the B-channel edge strength; an edge-strength-compensation module which compensates for the R-channel edge strength and the B-channel edge strength based on the G-channel edge strength; a valid-value-generation module which generates a valid value indicating a blur level based on the compensated R-channel edge strength and the compensated B-channel edge strength; a point spread function (PSF) estimation module which estimates a PSF corresponding to the valid value; and an image-restoration module which restores the input image using the PSF.

Abstract: A method and apparatus for restoring an image. The method includes extracting predetermined channels from image data including a plurality of channels; and restoring the extracted channels using a first filter.

Abstract: Provided is an image restoration method and apparatus, in which an image is restored by estimating the blur level of the image. The image restoration apparatus includes a block generation module which generates a plurality of overlapping blocks for an input image; a blur estimation module which generates a plurality of unit step responses for a current overlapping block from the overlapping blocks; a feature-map generation module which generates a feature map for the current overlapping block based on the unit step responses of the current overlapping block; and a filter application module which deblurs the current overlapping block by using a deconvolution filter to filter the feature map of the current overlapping block.

Abstract: Provided are a method and apparatus for correcting chromatic aberration of an image, the method and apparatus used in an image processing apparatus for an image pickup device or a display image processing apparatus. The chromatic aberration correction apparatus includes a chromatic aberration region sensing unit analyzing a luminance signal of an input image and sensing a region having chromatic aberration; a color gradient calculation unit calculating a first weight, which indicates a degree of chromatic aberration, based on a difference between gradients of color components of the input image; a luminance gradient calculation unit calculating a second weight, which indicates the degree of chromatic aberration, based on gradients of luminance components of the input image; and a chrominance correction unit correcting chrominance of a pixel of the input image, which is included in the sensed region, based on a value obtained by multiplying the first weight by the second weight.

Abstract: Provided are a noise reduction apparatus having an edge enhancement function and a method thereof, in which edges in an input image can be prevented from being blurred when reducing noise in the input image and a clear output image can be obtained by reducing edge discontinuities. The noise reduction apparatus includes a window setting module which sets a portion of an input image as a window, an edge-information detection module which detects edge information regarding the window, an image processing module which performs an image processing operation on the window, and an output-image generation module which generates an output image by reflecting the edge information into one or more windows obtained by the image processing operation.

Abstract: An apparatus and method for correcting an edge are provided. The apparatus includes a luminance corrector obtaining a corrected luminance value of a center pixel in a first window of a predetermined size, the first window located at the edge of the input image, by using weights assigned according to a luminance difference between the center pixel and each of a plurality of adjacent pixels in the first window or a predetermined difference of variance (DoV) value representing the degree of uniformity in the luminance between the center pixel and each of the plurality of adjacent pixels; and a chrominance corrector correcting a chrominance value of the edge using weights assigned according to a luminance difference between a center pixel and a plurality of adjacent pixels to the center pixel in a second window of a predetermined size based on the corrected luminance value.