A method for generating an image processing filter includes: adjusting; and extracting. The adjusting inputs first training image data into a neural network to generate output image data, calculates an evaluation value based on a loss function using the output image data and second training image data, and adjusts a convolution filter so as to reduce the evaluation value. The extracting extracts data from the adjusted convolution filter as data for the image processing filter. A first training image includes noise and reproduces a test pattern. A second training image includes reduced noise and reproduces the test pattern. The loss function includes a first term and a second term. The first term specifies a magnitude of a difference between the output image data and the second training image data. The second term grows smaller as symmetry of the convolution filter relative to a filter axis of symmetry increases.

There is provided a signal processor including correction circuitry configured to correct a signal for each color input to the signal processor and to output the corrected signal for each color, first conversion circuitry configured to receive the corrected signal for each color, to perform first image processing on each corrected signal for each color, and to generate a first signal having a first color gamut for each color, second conversion circuitry configured to receive the corrected signal for each color, to perform second image processing on each corrected signal for each color, and to generate a second signal having a second color gamut for each color, where the signal processor outputs a first image data having a first color gamut and a second image data having a second color gamut from same corrected signals for each color.

Embodiments of the present disclosure disclose a digital image conversion method and apparatus. The method includes: acquiring an RGB indication signal of a forward-correlated pixel of a current pixel; comparing an RGB signal of the current pixel with the RGB indication signal of the forward-correlated pixel; acquiring a YUV indication signal of the forward-correlated pixel and assigning the YUV indication signal to a YUV signal of the current pixel, if the RGB signal of the current pixel is identical to the RGB indication signal of the forward-correlated pixel; and recalculating the YUV signal of the current pixel according to the RGB signal of the current pixel, if the RGB signal of the current pixel is different from the RGB indication signal of the forward-correlated pixel. The digital image conversion method and apparatus disclosed in the embodiments of the present disclosure can effectively reduce the amount of calculation required for image data conversion.

A method may include: receiving facial image of the patient that depicts the patient's teeth; receiving a 3D model of the patient's teeth; determining color palette of the depiction of the patient's teeth; coding 3D model of the patient's teeth based on attributes of the 3D model; providing the 3D model, the color palette, and the coded 3D model to a neural network; processing the 3D model, the color palette, and the coded 3D model by the neural network to generate a processed image of the patient's teeth; simulating specular highlights on the processed image of the patient's teeth; and inserting the processed image of the patient's teeth into a mouth opening of the facial image.

An image processing apparatus performs predetermined image processing for read data obtained by reading an image on a document by first and second reading sensors arranged so as to have an overlapping area. The predetermined image processing includes color correction processing of converting color signals detected by light receiving elements of the reading sensors into color signals with respect to each of pixels forming read data. Color correction processing for first read data obtained from light receiving elements of the first reading sensor not included in the overlapping area and color correction processing for second read data obtained from light receiving elements of the second reading sensor not included in the overlapping area are performed in accordance with different correction characteristics. By doing this, an image in which image unevenness caused by individual differences of the short reading sensors is reduced can be output.

Embodiments relate to circuitry for pixel conversion of images for display. A circuit converts input pixel values of an image using a color conversion function. A lookup table memory circuit stores a mapping of color converted values and input pixel values where the mapping represents the color conversion function. The circuit produces a color converted value from the lookup table as a color converted version of a first input pixel value responsive to the first input pixel value being within a first range. The circuit may also produce a color converted version of a second input pixel value by interpolating a subset of the color converted values received from the lookup table responsive to the second input pixel being within a second input range.

Efficient image compression for video data characterized by a non-neutral dominant white point is achieved by transforming the input video signal into a de-correlated video signal based on a color difference encoding transform, wherein the color difference encoding transform is adapted based on the dominant white point using an algorithm. The adapting algorithm is designed for optimizing low-entropy output when the white point is other than a neutral or equal-energy value. Decompression is handled conversely.

Embodiments relate to circuitry for pixel conversion of images for display. A circuit converts input pixel values of an image using a color conversion function. A lookup table memory circuit stores a mapping of color converted values and input pixel values where the mapping represents the color conversion function. The circuit produces a color converted value from the lookup table as a color converted version of a first input pixel value responsive to the first input pixel value being within a first range. The circuit may also produce a color converted version of a second input pixel value by interpolating a subset of the color converted values received from the lookup table responsive to the second input pixel being within a second input range.

An apparatus and a method that decrease a banding phenomenon in a subsampled image and achieve high image quality are provided. A subsampled image obtained by copying an adjacent pixel value to a pixel value thinning position is accepted as an input image; a correction target signal global gain is calculated as a ratio between a slope of a correction target signal and a slope of a luminance signal of a global region made up of a plurality of consecutive pixels including a pixel position of the correction target pixel of the input image; a luminance local slope is calculated as a slope of the luminance signal of a local region which is a region within the global region, including the pixel position of the correction target pixel of the input image and smaller than the global region; and a corrected pixel value of the correction target pixel is calculated.

A driving circuit configured to receive metadata and image signals, the driving circuit comprising: a meta-data parsing circuit configured to parse the metadata and output parsed metadata; an image analyzing and data processing circuit configured to analyze the image signals based on the parsed metadata and output a parameter and data signals; a reference voltage selector configured to output a reference voltage selection signal based on the parameter and the parsed metadata; a grayscale voltage generator configured to select a plurality of reference voltages in response to the reference voltage selection signal and generate a plurality of grayscale voltages based on the selected reference voltages; and an output circuit configured to convert the data signals to data voltage signals based on the grayscale voltages.