A method for retrieval of multi spectral bidirectional reflectance distribution function (BRDF) parameters by using red-green-blue-depth (RGB-D) data includes capturing, by an RGB-D camera, at least one image of one or more objects in a scene. The captured at least one image of the one or more objects includes RGB-D data including color and geometry information of the objects. A processing unit reconstructs the captured at least one image of the one or more objects to one or more 3D reconstructions by using the RGB-D data. A deep neural network classifies the BRDF of a surface of the one or more objects based on the 3D reconstructions. The deep neural network includes an input layer, an output layer, and at least one hidden layer between the input layer and the output layer. The multi spectral BRDF parameters are retrieved by approximating the classified BRDF by using an iterative optimization method.

The invention provides methods that improve image compression and/or quality within the JPEG process by using a low-pass filter to remove high frequency components from image data, which removes blocking artifacts. Preferred embodiments apply the low-pass filter to the Chroma components after decompression prior to conversion into RGB color space.

The invention provides methods that improve image compression and/or quality within the JPEG process by using a low-pass filter to remove high frequency components from image data, which removes blocking artifacts. Preferred embodiments apply the low-pass filter to the Chroma components after decompression prior to conversion into RGB color space.

An imaging apparatus includes an optical imaging system that converges light from an object; an imaging device that includes a plurality of pixels, receives the converged light, and converts the received light to an electric signal; a filter unit that is disposed between the optical imaging system and the imaging device and includes a plurality of color filters having different light transmission rate characteristics; and a transmission data compressing circuit that codes the electric signal. An overall light transmission rate characteristic of the filter unit differs randomly in different pixels of the imaging device, and the transmission data compressing circuit weights and codes the electric signal of each of the pixels by using a reciprocal of a proportion of the overall light transmission rate characteristic of the filter unit corresponding to each of the plurality of pixels of the imaging device relative to a wavelength characteristic common among the pixels.

An in-vehicle imaging device is provided with a detection region setting unit for setting a detection region, which corresponds to a predetermined object to be detected within an imaging screen; a color signal determination unit for setting a specific color corresponding to the object to be detected, and for determining whether the color data of pixels contained in the detection region are close to the specific color; and a gain control unit for averaging the color data of pixels (approximate color pixels) that were determined to be close to the specific color within the detection region and for adjusting the color gain of the image signal on the basis of a differential value of the color data of the specific color and the average value of the color data of the approximate color pixels.

An in-vehicle imaging device is provided with a detection region setting unit for setting a detection region, which corresponds to a predetermined object to be detected within an imaging screen; a color signal determination unit for setting a specific color corresponding to the object to be detected, and for determining whether the color data of pixels contained in the detection region are close to the specific color; and a gain control unit for averaging the color data of pixels (approximate color pixels) that were determined to be close to the specific color within the detection region and for adjusting the color gain of the image signal on the basis of a differential value of the color data of the specific color and the average value of the color data of the approximate color pixels.

Systems and methods for sensor-independent illuminant determination are provided. In one embodiment of the method, the method includes receiving one or more training images in raw-RGB format; generating an input histogram from each of the inputted raw images; generating a learned mapping matrix that map raw images to a learned mapping space by passing the one or more input histograms to a trained first machine learning model; generating one or more mapped images by applying the learned mapping matrix to the one or more training images; generating a mapped histogram from each of the mapped images; and determining the result illuminant by passing the one or more mapped histograms as input into a second machine learning model. A final illuminant for an input image can be determined by applying the result illuminant to the input color space of the input image.

Systems and methods for sensor-independent illuminant determination are provided. In one embodiment of the method, the method includes receiving one or more training images in raw-RGB format; generating an input histogram from each of the inputted raw images; generating a learned mapping matrix that map raw images to a learned mapping space by passing the one or more input histograms to a trained first machine learning model; generating one or more mapped images by applying the learned mapping matrix to the one or more training images; generating a mapped histogram from each of the mapped images; and determining the result illuminant by passing the one or more mapped histograms as input into a second machine learning model. A final illuminant for an input image can be determined by applying the result illuminant to the input color space of the input image.

Embodiments relate to a data conversion unit including a color analysis portion configured to determine based on R (red), G (green) and B (blue) data signals among the R, G, B data signals and W (white) data signal for an input image whether or not the input image includes a pure color component; and a brightness adjustment portion configured to adjust brightness of the W data signal according to a hue of the pure color component included in the input image.

Embodiments relate to a data conversion unit including a color analysis portion configured to determine based on R (red), G (green) and B (blue) data signals among the R, G, B data signals and W (white) data signal for an input image whether or not the input image includes a pure color component; and a brightness adjustment portion configured to adjust brightness of the W data signal according to a hue of the pure color component included in the input image.