An image processing device receives a multi-spectral image and a panchromatic image of a scene. The device extracts a luminosity subcomponent image from the multi-spectral image and upsamples it to generate a luminosity image of a scale intended for a super-resolved image. For each pixel of the luminosity image, the device performs a series of pixel processing and replacement steps, including extracting a first image patch surrounding the pixel and matching it with a plurality of extracted panchromatic image patches, which are smaller than the first image patch by a ratio of a size of the panchromatic image to a size of the luminosity image. The image processing and replacement of the pixels may be iteratively performed to produce a super-resolved image.

An image processing device includes: an image sensor for acquiring a pixel value of each of a plurality pixels; and a controller for acquiring a pattern image including the pixel value of each of the plurality of pixels and an exposure value representing an exposure time, generating a plurality of super resolution images based on pixels having the same exposure value among the plurality of pixels included in the pattern image, generating a motion map, which represents a motion of an object based on a ratio of exposure values of pixels at a selected position among a plurality of pixels included in the plurality of super resolution images and a ratio of pixel values of the pixels at the selected position, and generating a target image according to a weighted sum of the plurality of super resolution images and the motion map.

Analyte arrays such as solutes in a slab-shaped gel following electrophoresis, and particularly arrays that are in excess of 3 cm square and up to 25 cm square and higher, are imaged at distances of 5 cm or less by either forming sub-images of the entire array and stitching together the sub-images by computer-based stitching technology, or by using an array of thin-film photoresponsive elements that is coextensive with the analyte array to form a single image of the array.

Embodiments of the present application disclose various super-resolution image acquisition methods and acquisition apparatuses, wherein a super-resolution image acquisition method comprises: determining sub-pixel level target offset distances of corresponding logic pixel points in respective to-be-adjusted regions of image sensors of any two adjacent cameras of a camera array, the respective to-be-adjusted regions being imaging regions of the image sensors respectively corresponding to a first region, and the first region being at least a local part of a scene; adjusting pixel point distribution of image sensors of respective cameras in the camera array according to the sub-pixel level target offset distances; acquiring images of the scene respectively based on the cameras after adjustment; and acquiring a super-resolution image of the scene according to the acquired images. The embodiments of the present application improve imaging quality of a sub-image in the super-resolution image corresponding to the first region.

Embodiments of the present application disclose various super-resolution image acquisition methods and acquisition apparatus, wherein one of super-resolution image acquisition methods comprises: determining a to-be-adjusted region of an image sensor of at least one camera in a camera array, the to-be-adjusted region being an imaging region of the image sensor of the at least one camera corresponding to a first region, and the first region being at least a local part of a scene; adjusting pixel point distribution of the image sensor of the at least one camera, to increase the number of pixel points distributed in the to-be-adjusted region; acquiring images of the scene respectively by cameras of the camera array after adjustment; and acquiring a super-resolution image of the scene according to the acquired images. The embodiments of the present application improve imaging quality of a sub-image in the super-resolution image corresponding to the first region.

An apparatus includes a first sensor unit that includes a plurality of first sensors arranged in the first direction which include a first sensor configured to receive a first image formed by light with a first wavelength, a second sensor unit that includes a plurality of second sensors arranged in the first direction which include a second sensor configured to receive a second image formed by light with a second wavelength , and a controller configured to control the first and second sensor units. The controller controls the plurality of first sensors under a first common exposure condition, and controls the plurality of second sensors in the second sensor unit under a second common exposure condition.

Systems and methods for implementing array cameras configured to perform super-resolution processing to generate higher resolution super-resolved images using a plurality of captured images and lens stack arrays that can be utilized in array cameras are disclosed. An imaging device in accordance with one embodiment of the invention includes at least one imager array, and each imager in the array comprises a plurality of light sensing elements and a lens stack including at least one lens surface, where the lens stack is configured to form an image on the light sensing elements, control circuitry configured to capture images formed on the light sensing elements of each of the imagers, and a super-resolution processing module configured to generate at least one higher resolution super-resolved image using a plurality of the captured images.

The present invention provides a method for measuring a depth of field of an image, including: (a) picking up a first image having a first resolution at a first position; (b) driving the optical lens to move to a second position in a direction along a non-optical axis, and picking up a second image having a second resolution at the second position; and (c) synthesizing the first image and the second image, so as to obtain a third image having a third resolution, where the third resolution is greater than the first resolution and the second resolution. In addition, the present invention also provides an image pickup device and an electronic device using the method.

A super resolution optofluidic microscope device comprises a body defining a fluid channel having a longitudinal axis and includes a surface layer proximal the fluid channel. The surface layer has a two-dimensional light detector array configured to receive light passing through the fluid channel and sample a sequence of subpixel shifted projection frames as an object moves through the fluid channel. The super resolution optofluidic microscope device further comprises a processor in electronic communication with the two-dimensional light detector array. The processor is configured to generate a high resolution image of the object using a super resolution algorithm, and based on the sequence of subpixel shifted projection frames and a motion vector of the object.

An image pickup apparatus includes a processor configured of hardware functioning as a pixel-shift-combination processing section configured to perform pixel shift combination of a plurality of image data acquired by performing pixel shift photographing in a certain focus position to generate combined image data, a depth-combination processing section configured to perform depth combination of a plurality of combined image data in different focus positions that the depth-combination processing section causes the pixel-shift-combination processing section to generate, and a microcomputer configured to extract a focused region in at least one or more of the plurality of focus positions. The pixel-shift-combination processing section performs, concerning a focus position where the focused region is extracted, the pixel shift combination concerning only a partial image region including the focused region.