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.

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.

An image processing pipeline may apply chroma suppression to image data at a scaler implemented in the image processing pipeline. Image data collected for an image may be received at a scaler that is encoded in a color space that includes a luminance component and chrominance components. When resampling the image data to generate a different size of the image, the scaler may attenuate the chrominance components of the image data according to the luminance component of the image data. The scaler may also perform dot error correction and convert the image data from one subsampling scheme to another.

There is provided an image processing apparatus including a presentation controller configured to control presentation of degrees of focus in a target image corresponding to an image to be processed on the basis of a first determination result corresponding to a determination result of a degree of focus in a pixel unit in the target image and a second determination result corresponding to a determination result of a degree of focus in a region unit in the target image.

A three-dimensional object detection device has an image capturing unit, an object detection unit, a nighttime assessment unit, a luminance detection unit, a luminance peak detection unit and a controller. The image capturing unit captures images rearward of a vehicle. The object detection unit detects a presence of an object from the captured images. The nighttime assessment unit assesses if nighttime has fallen. The luminance detection unit detects a luminance of image areas from the captured image. The luminance peak detection unit detects a peak in the luminance having a luminance gradient that is greater than or equal to a predetermined reference value from among the detected peaks in the luminance as a target luminance peak. The controller controls detection of the object in an image area in which the target luminance peak is detected when an assessment has been made that nighttime has fallen by the nighttime assessment unit.