An electronic device includes an image capture device configured to capture image sensor data in response to initiation of an image capture operation. The electronic device includes one or more processors and a display operable with the one or more processors. The one or more processors select saturated pixels of the image sensor data and determine a gain factor as a function of brightness values of pixels in the image sensor data. The one or more processors increase an intensity value of the saturated pixels by the gain factor to create scaled image sensor data, blur at least some of the scaled image sensor data by convolving a blur kernel with the scaled image sensor data to create altered image sensor data exhibiting a simulated bokeh effect and cause the display to present the altered image sensor data exhibiting the simulated bokeh effect.

An electronic device includes an image capture device configured to capture image sensor data in response to initiation of an image capture operation. The electronic device includes one or more processors and a display operable with the one or more processors. The one or more processors select saturated pixels of the image sensor data and determine a gain factor as a function of brightness values of pixels in the image sensor data. The one or more processors increase an intensity value of the saturated pixels by the gain factor to create scaled image sensor data, blur at least some of the scaled image sensor data by convolving a blur kernel with the scaled image sensor data to create altered image sensor data exhibiting a simulated bokeh effect and cause the display to present the altered image sensor data exhibiting the simulated bokeh effect.

The present subject matter refers to a controlling method of an electronic apparatus for long exposure photography in a multi-camera device. The method includes receiving first image frames at a first frame rate from a first camera of the multi-camera device, detecting a presence of at least one moving object in each of the first image frames, based on the detection of the at least one moving object in each of the first image frames, utilizing a second camera for receiving second image frames at a second frame rate, performing a motion analysis on each of the first image frames for selection of one or more frames among the second image frames, based on the one or more frames being selected, identifying motion gaps in each of subsequent frames among the selected one or more frames, based on the motion gaps being identified, generating one or more in-place frames, and generating a motion dramatizer image based on the one or more in-place frames.

The present subject matter refers to a controlling method of an electronic apparatus for long exposure photography in a multi-camera device. The method includes receiving first image frames at a first frame rate from a first camera of the multi-camera device, detecting a presence of at least one moving object in each of the first image frames, based on the detection of the at least one moving object in each of the first image frames, utilizing a second camera for receiving second image frames at a second frame rate, performing a motion analysis on each of the first image frames for selection of one or more frames among the second image frames, based on the one or more frames being selected, identifying motion gaps in each of subsequent frames among the selected one or more frames, based on the motion gaps being identified, generating one or more in-place frames, and generating a motion dramatizer image based on the one or more in-place frames.

A dual mode camera may have a camera module and a light source. The camera module may include a quasi-bandpass filter for passing visible light and passing an attenuated portion of near-infrared light to an image sensor for detection. A processor may determine an ambient lighting condition corresponding with an amount of ambient visible light detected by a photodetector. In response to a first ambient lighting condition, the processor may send a first control signal to an encoder to encode image data in monochrome, and another signal to activate a light source. In response to a second ambient lighting condition, the processor may send a second control signal to the encoder to encode image data in color. The light source may emit a band of near-infrared light corresponding with an atmospheric absorption band. The quasi-bandpass filter may attenuate a portion of near-infrared light corresponding with the same atmospheric absorption band.

A dual mode camera may have a camera module and a light source. The camera module may include a quasi-bandpass filter for passing visible light and passing an attenuated portion of near-infrared light to an image sensor for detection. A processor may determine an ambient lighting condition corresponding with an amount of ambient visible light detected by a photodetector. In response to a first ambient lighting condition, the processor may send a first control signal to an encoder to encode image data in monochrome, and another signal to activate a light source. In response to a second ambient lighting condition, the processor may send a second control signal to the encoder to encode image data in color. The light source may emit a band of near-infrared light corresponding with an atmospheric absorption band. The quasi-bandpass filter may attenuate a portion of near-infrared light corresponding with the same atmospheric absorption band.

A display control unit 110 that displays an image adjustment window in which saturation of a specified hue is set by a two-dimensional coordinate in which a hue is made to correspond to an angular direction and levels of saturation of respective hues are made to correspond to distances in a radial direction and a CPU 140 that specifies the hue through first manipulation input, and sets saturation of the specified hue through second manipulation input are included, and the display control unit displays a polygon representing a relative relationship between levels of saturation of respective hues set by the CPU in the image adjustment window.

A vision system for a vehicle includes a color camera that captures image data, which is processed using an in-line dithering algorithm. The in-line dithering algorithm determines most significant bits and least significant bits of first color data captured by a first photosensing element of a row or column, and the least significant bits of the first color data are added to second color data captured by a second photosensing element of the row or column to generate second adjusted color data. The in-line dithering algorithm determines most significant bits and least significant bits of the second color data, and the least significant bits of the second color data are added to third color data captured by a third photosensing element of the row or column to generate third adjusted color data.

A system and method for color correction is disclosed to reduce noise amplification during color correction. The method can comprise color correcting a noise evaluation image using a plurality of color correction parameters, determining a noise amplification metric by comparing the corrected noise evaluation image with the pre-correction noise evaluation image, and adjusting the plurality of color correction parameters based on the noise amplification metric.

A vision system for a vehicle includes a camera disposed at the vehicle and having a field of view exterior of the vehicle. The camera includes an RGB photosensor array having multiple rows of photosensing elements and multiple columns of photosensing elements. An in-line dithering algorithm is applied to individual lines of photosensing elements of the photosensor array in order to reduce at least one of color data transmission and color data processing. The in-line dithering algorithm includes at least one of an in-row dithering algorithm that is applied to individual rows of photosensing elements of the photosensor array and an in-column dithering algorithm that is applied to individual columns of photosensing elements of the photosensor array. The in-line dithering algorithm may be operable to determine most significant bits and least significant bits of color data of photosensing elements of the photosensor array.