A pattern for camouflage and a method for making the pattern. The method includes taking photographic images from the perspective of the selected animal or bird. In one embodiment, the photographic image can be taken from above so as to create a finite background within the selected environment. In another embodiment, the pattern is adapted to be seamlessly repeatable across a surface. The method includes placing desired harvested abstracts into the photographic scene to obtain the overall desired effect of the camouflage pattern including color, composition, depth and repeat. The method also includes taking multiple photographs of the same scene from the same exact spot focusing on different parts of the photographic scene to add clarity to certain portions of the images, enhance depth, and reach desired color palate. The method includes adjusting the color of objects, including water within the photographic scene, to reflect true color of objects absent outside conditions.

A technique determines a depth measurement associated with a scene captured by an image capture device. The technique receives at least first and second images of the scene, in which the first image is captured using at least one different camera parameter than that of the second image. At least first and second image patches are selected from the first and second images, respectively, the selected patches corresponding to a common part of the scene. The selected image patches are used to determine which of the selected image patches provides a more focused representation of the common part. At least one value is calculated based on a combination of data in the first and second image patches, the combination being dependent on the more focused image patch. The depth measurement of the common part of the scene is determined from the at least one calculated value.

An imaging apparatus includes: an imaging unit that is capable of performing imaging and recording; a first operating part; a second operating part; a mode setting unit; a storage unit that stores a still picture set value for imaging and recording of a still picture and a motion picture set value for imaging and recording of a motion picture; and a control unit as defined herein.

A method of creating a focused image of a sample includes: acquiring a first image of the sample at a first height of a focal plane; acquiring a second image of the sample at a second height of the focal plane; creating a mask from the first image; calculating a first metric for a first pixel in the first image, wherein the first pixel is not covered by the mask; calculating a second metric for a second pixel in the second image, wherein the second pixel is not covered by the mask; and constructing the focused image of the sample from data of the first pixel and data of the second pixel based on the first metric and the second metric.

Embodiments disclosed herein are directed to systems and methods for determining a presence and an amount of an analyte in a biological sample. The systems and methods for determining the presence of an analyte utilize a plurality of images of a sample slide including multiple fields-of-view having multiple focal planes therein. The systems and methods utilize algorithms configured to color and grayscale intensity balance the plurality of images and based thereon determine if the plurality of images contain the analyte therein.

A wafer inspection apparatus includes: a stage configured such that a wafer is arranged on the stage; an optical apparatus configured to align the wafer on the stage and generate an optical intensity image including an optical intensity profile; a focus adjusting unit configured to align light incident onto the wafer to be in-focus; and an image processor configured to integrate the optical intensity image with vertical level data of the in-focus to generate and analyze a three-dimensional (3D) image.

Disclosed is a depth extracting method using a focus measure ratio in a depth extracting camera system including acquiring a plurality of images—each of the plurality of images including a subject—having different focused subject distances; calculating a focus measure ratio between the plurality of images; and extracting depth for the subject based on the focus measure ratio between the plurality of images.

An operation method of depth extracting camera system using multi focus image includes acquiring at least two or more images having different focused subject distances—each of the at least two or more images including a subject—through a single optical system which is included in the depth extracting camera system; and extracting depth for the subject by using a blur difference in the at least two or more images.

A method for determining whether or not a transparent protective cover of a video camera comprising a lens-based optical imaging system is partly covered by a foreign object is disclosed. The method comprises: obtaining (402) a first captured image frame captured by the video camera with a first depth of field; obtaining (404) a second captured image frame captured by the video camera with a second depth of field which differs from the first depth of field; and determining (406) whether or not the protective cover is partly covered by the foreign object by analysing whether or not the first and second captured image frames are affected by presence of the foreign object on the protective cover such that the difference between the first depth of field and the second depth of field results in a difference in a luminance pattern of corresponding pixels of a first image frame and a second image frame. The first image frame is based on the first captured image frame and the second image frame is based on the second captured image frame.

Provided is an image processing device, including: a distance calculator that calculates distance information corresponding to at least one image among a plurality of input images; and an image generator that generates an output image with a shallow depth of field based on the distance information, in which the distance calculator calculates distance information from a plurality of contrast calculation regions sizes of which are different, and the image generator calculates a pixel value of an output image by smoothing a pixel value of the input image based on the distance information.