Systems and methods are described for generating a monochrome image from a color filter array. Image data from an image capturing device may be received having a color filter array comprising a plurality of filter positions. The image data may be interpolated to de-mosaic the image data into three sets of data representing red, blue, and green (RGB) data, respectively, for each of the plurality of filter positions. A weight may be calculated for each value of the RGB data based on a local gradient calculated for each value of the RGB data. A pixel value may be calculated for each pixel position for generating a monochrome image using the weight for each value of the RGB data.

To prevent gradation collapse. A BD player 1 includes a CPU 2 that obtains dynamic range of a monitor, a reproduction section 4 that obtains content information, and a video processor 5 that converts a digital video signal based on dynamic range of the monitor that is obtained by the CPU 2 and the content information that is obtained by the reproduction section 4. The video processor 5 converts each code value of the digital video signal of a content so that code value of the digital video signal that corresponds to minimum luminance of the content becomes code value that corresponds to minimum luminance of the monitor and code value of the digital video signal that corresponds to maximum luminance of the content becomes code value that corresponds to maximum luminance of the monitor.

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.

Systems, devices, media, and methods are presented for receiving a set of images in a video stream, converting one or more images of the set of images to a set of single channel images, generating a set of approximation images from the set of single channel images, and generating a set of binarized images by thresholding the set of approximation images.

Systems, devices, media, and methods are presented for receiving a set of images in a video stream, converting one or more images of the set of images to a set of single channel images, generating a set of approximation images from the set of single channel images, and generating a set of binarized images by thresholding the set of approximation images.

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.

The present invention relates to image processing. More particularly, the present invention provides methods for efficient image decolorization and color image enhancement. The methods of the present invention comprise decolorization in frequency domain, adaptive brightness control for an enhanced grayscale image and color image enhancement. The present invention is able to improve sharpness and fine details in both enhanced grayscale and color images.

The present invention relates to image processing. More particularly, the present invention provides methods for efficient image decolorization and color image enhancement. The methods of the present invention comprise decolorization in frequency domain, adaptive brightness control for an enhanced grayscale image and color image enhancement. The present invention is able to improve sharpness and fine details in both enhanced grayscale and color images.

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 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.