Devices, methods, and non-transitory program storage devices are disclosed to provide techniques for distortion compensation in images that are subject to video image stabilization (VIS), e.g., electronic image stabilization (EIS). In some embodiments, the techniques comprise: obtaining a first image captured by a first image capture device; determining a first set of image parameters configured to apply a first distortion operation (e.g., an un-distortion operation) to the first image; determining a second set of image parameters configured to apply a first stabilization operation to a first version of the first image that has already had the first distortion operation applied; determining a third set of image parameters configured to apply a second distortion operation (e.g., an idealized, field of view-preserving, re-distortion operation) to the first image; and applying the determined first, second, and third sets of image parameters to the first image to generate a distortion-compensated and stabilized output image.

A first multiplier multiplies a correction value by an adjustment coefficient and generates an adjusted correction value, the correction value being read from the correction value table, and the adjustment coefficient being determined from a zoom magnification and a focus distance. A second multiplier multiplies the adjusted correction value by a cosine of an angle formed between a position of each target pixel and the center of the frame and generates a horizontal correction value that corrects the target pixel in a horizontal direction. A horizontal filter adds all multiplication results obtained by multiplying a plurality of pixels in a left-right direction with each target pixel as a center, by left-right asymmetric coefficients, generates a horizontal high-pass filter component, adds, to each target pixel, a horizontal correction component obtained by multiplying the horizontal high-pass filter component by the horizontal correction value, and corrects each target pixel in the horizontal direction.

A storage medium stores correction data for obtaining a correction amount for correcting image data, obtained from an image formed by a lens apparatus, with respect to a distribution of a light amount in the image, wherein the correction data includes a coefficient of an n-th order polynomial (where n is a non-negative integer) with respect to an image height h, the coefficient corresponding to a state of the lens apparatus. The coefficient satisfies a first inequality
−0.15≤dD′(h)−dDlens(h)≤1.98, where dDlens(h) represents a change amount of the light amount at the image height h per an increase amount dh of the image height h, and dD′(h) represents a change amount of an inverse of a value of the n-th order polynomial at the image height h per the increase amount dh.

Systems and techniques are described for large field of view digital imaging. A device's first image sensor captures a first image based on first light redirected from a first path onto a redirected first path by a first light redirection element, and the device's second image sensor captures a second image based on second light redirected from a second path onto a redirected second path by a second light redirection element. A virtual extension of the first path beyond the first light redirection element can intersect with a virtual extension of the second path intersect beyond the second light redirection element. The device can modify the first image and second image using perspective distortion correction, and can generate a combined image by combining the first image and the second image. The combined image can have a larger field of view than the first image and/or the second image.

A method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Provided is an image processing device that can accurately detect a target object, even when a high-distortion lens is used. According to the present invention, a camera 100 captures images in accordance with a synchronization signal Sig1, a camera 101 captures images in accordance with a synchronization signal Sig2, an area of interest setting unit 1033 sets an area of interest that represents a region to which attention is to be paid, a phase difference setting unit 1034 sets a shift .DELTA.t (a phase difference) for synchronization signal Sig1 and synchronization signal Sig2 that synchronizes the imaging timing of camera 100 and camera 101 with respect to the area of interest in the images captured by camera 100 and a region of the images captured by camera 101 that corresponds to the area of interest, and a synchronization signal generation unit 102 generates synchronization signal Sig1 and synchronization signal Sig2 on the basis of the shift .DELTA.t.

An imaging device includes an image sensing unit configured to generate image data by sensing incident light received from a scene, a line buffer configured to store image data received from the image sensing unit, an optical distortion corrector (ODC) configured to perform lens distortion correction for output pixel coordinates based on input pixel coordinates of the image data stored in the line buffer, and a read speed controller configured to control a read speed at which the image data is read from the line buffer according to the output pixel coordinates.

Provided is a lens apparatus attachable and removable to a camera apparatus, the lens apparatus comprising a communication device configured to transmit, to an external device, information for light amount compensation of image data obtained by image pickup in the camera apparatus, in which the information includes information of a coefficient A.sub.0 of a term of 0-th-order with respect to an image height in a polynomial of n-th-order with respect to the image height, and in which a conditional expression

0.7<A.sub.0(Z)×(Fw/F(Z)).sup.2<1.3

is satisfied where A.sub.0(Z) represents the coefficient Ao at a zoom state Z, F(Z) represents an effective F-number at the zoom state Z, and Fw represents an effective F-number at a wide angle end.

Provided herein may be an image sensing device and a method of operating the same. The image sensing device may include an image sensor configured to acquire an image including a plurality of pixel values, a memory configured to store reference gain values of each of a plurality of block areas included in the image, and an image processor configured to calculate gain values included in each of the plurality of block areas using the reference gain values and to output a correction image in which the reference gain values and the gain values are applied to the plurality of pixel values, wherein the block areas include a first block area and a second block area having a shorter distance from a center of the image than the first block area and having a size greater than that of the first block area.

Flare compensation includes obtaining a dark corner intensity differences profile between a first and a second image based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image. The dark corner intensity differences profile is obtained for a luminance (Y) component. A flare profile is obtained using an intensity differences profile and the dark corner intensity differences profile. The intensity differences profile is obtained for the Y component along a stitch line between the first image and the second image. The flare profile of the Y component is converted to an RGB flare profile. The first image is modified based on the RGB flare profile to obtain a processed first image.