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.

An image sensor including an image signal processor and an operating method of the image sensor are provided. An image sensor may include a pixel array configured to convert a received optical signal into electrical signals, a readout circuit configured to analog-digital convert the electrical signals to generate image data, and an image signal processor configured to perform one-dimensional filtering in each of a first direction and a second direction on the image data to remove noise of the image data, the second direction being different than the first direction.

Dual cameras that simultaneously capture RGB and IR images of a scene can be used to remove glare from the RGB image, transformed to a YUV image, by substituting a glare region in the luminance component of the YUV image with the pixel values in a corresponding region of the IR image. Further, color information in the glare region may be adjusted by averaging over or extrapolating from the color information in the surrounding region.

A vehicular driver assistance system includes a camera that views through the windshield of the vehicle and a control device having an image processor that processes captured image data. Responsive to processing of captured image data by the image processor, the system adjusts a light beam emitted by a headlamp of the vehicle. The control device, responsive at least in part to image data processing by the image processor, determines when the vehicle is at a construction zone. Responsive to determination that the vehicle is at a construction zone, image processing of image data captured by the camera is adjusted to discriminate construction zone signs from taillights of leading vehicles. Responsive to determination of the vehicle exiting the construction zone, the control device adjusts the light beam emitted by the headlamp of the vehicle responsive to determination of headlamps of approaching vehicles and taillights of leading vehicles.

There is provided an image processing apparatus. An obtaining unit obtains an image, and first NR information defining noise reduction processing using a first noise reduction processing method which an external apparatus can apply to the image. A generating unit generates, on the basis of the first NR information, second NR information defining noise reduction processing using a second noise reduction processing method which is different from the first noise reduction processing method. A noise reducing unit applies the noise reduction processing using the second noise reduction processing method to the image in accordance with the second NR information.

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 CPU provided in an image display device of an image exposure device causes a display unit of the image display device to display a display image for divided exposure, which has a divided gradation value obtained by dividing a gradation value of a recorded image, and sequentially performs a plurality of exposures of the photosensitive recording medium by the display image for divided exposure to perform a divided exposure for recording the recorded image on the photosensitive recording medium.

A system, method, and computer program product are provided for capturing digital images. In use, an ambient image comprising at least two ambient pixels and a flash image comprising at least two flash pixels is captured, via a camera module. Next, at least one de-noised pixel based on the ambient image is generated. Additionally, a resulting image is generated by combining the at least one de-noised pixel and a corresponding flash pixel. Additional systems, methods, and computer program products are also presented.

An image processing device includes an image generation unit (212) that generates, in an IR image frame, a first IR image captured in a state in which a pulse wave is on and a second IR image captured in a state in which the pulse wave is off, and an image correction unit (213) that corrects the first IR image on the basis of the second IR image.