Abstract: Systems, apparatuses, and methods for implementing gradient adaptive ringing control for image resampling are disclosed. A blending alpha calculation circuit generates a blending alpha value for a set of input pixels based on a normalized gradient calculated for the set of input pixels. The normalized gradient is a low-pass filtered gradient of the set of input pixels divided by a maximum gradient for the set of input pixels. The normalized gradient is passed through a mapping function so as to generate the blending alpha value. The mapping function is pre-tuned based on filter coefficients, video content type, pixel format, and so on. An interpolated pixel is generated for the set of input pixels by blending ringing free and ringing prone interpolation coefficients, or by blending results between ringing free and ringing prone interpolation filters, with the blending weight for each filter based on the blending alpha value.

Abstract: Chroma correction of inverse gamut mapping (IGM) for standard dynamic range (SDR) to high dynamic range (HDR) image conversion includes: converting R,G,B color components in the RGB color format of a pixel of an image to an intensity component (I) and chroma components (Ct and Cp) of an ICtCp color format, wherein the R,G,B color components represent red, green, and blue colors; applying an intensity transformation operation on the intensity component (I) of the pixel; executing a chroma correction operation on the transformed intensity component (I) and the chroma components (Ct and Cp) of the pixel; and converting the intensity component (I) and the chroma components (Ct and Cp) of the pixel back to the RGB color format.

Abstract: A processing system adjusts a saturation component of a hue-saturation-value (HSV) color space pixel input for an organic light emitting diode (OLED) display panel as a function of the hue component. The processing system converts components of a pixel input from a non-HSV color space to HSV components of the pixel input in HSV color space and modifies the saturation component of the pixel input in HSV color space based on the hue component of the pixel input to generate modified HSV components of the pixel input. The processing system then converts the modified HSV components of the pixel input back into the original color space to produce modified components of the pixel input in the original color space and provides the modified components of the pixel input for receipt by the OLED display, allowing the pixel to be driven at a lower pixel value while maintaining perceptual quality.

Abstract: Systems, apparatuses, and methods for performing optimized sharpening of images in non-linear and linear formats are disclosed. A system includes a blur filter and a sharpener. The blur filter receives an input image or video frame and provides blurred output pixels to a sharpener unit. The sharpener unit operates in linear or non-linear space depending on the format of the input frame. The sharpener unit includes one or more optimizations to generate sharpened pixel data in an area-efficient manner. The sharpened pixel data is then driven to a display.

Abstract: Rescaling or reconstructing of a digital image may be accomplished by directional interpolation, so that interpolation is done in the direction perpendicular to the gradient—the direction in which the change in pixel values is the smallest. Each pixel is generated by interpolation in the output image as a weighted average of nearby pixels, in which the weighting is done in the direction of the gradient. The interpolation is accomplished with an adaptive filter that has an elliptical frequency response determined by the direction of the gradient. The filter uses filter coefficients that are a function of the direction. Rather than storing coefficients for each of several directions, three filter coefficients are stored—one set for non-directional filter, one for one direction such as 45 degrees, and another for another direction such as 135 degrees. A blending of the filter coefficients is used.

Abstract: Described herein are methods and devices that employ parallel compression of image data using a lossless compressor and a quantization compressor. As described, the lossless compressor generates a variable length compressed bit stream and the quantization compressor generates a fixed length compressed bit stream. The fixed length bit stream is always equal in size to a size requirement of an output memory block. The variable length bit stream may be stored in the output memory block unless it exceeds the memory requirement in size, in which case the fixed length bit stream may be stored to the output memory block.

Abstract: Described herein are methods and devices that employ parallel compression of image data using a lossless compressor and a quantization compressor. As described, the lossless compressor generates a variable length compressed bit stream and the quantization compressor generates a fixed length compressed bit stream. The fixed length bit stream is always equal in size to a size requirement of an output memory block. The variable length bit stream may be stored in the output memory block unless it exceeds the memory requirement in size, in which case the fixed length bit stream may be stored to the output memory block.

Abstract: A liquid crystal display (LCD) system including a liquid crystal (LC) panel; an LC panel controller to send output code values to the LC panel; a backlight to illuminate the LC panel; a backlight controller; and a display controller to control the backlight controller and the LC panel controller, and receive input code values from an image source is presented wherein the LCD system uses a dynamic knee point determination of soft clipping to provide output code values to the LC panel. A method for using an LCD system as above is also provided.

Abstract: A method and a system for adaptive image enhancement are provided for measuring the image quality of a pixel region in a frame, performing an image classification based on the image quality measurement, and enhancing image quality by applying operations according to image classification of the region. Also provided is a method as above including the steps of dividing a frame into P pixel regions; and for each one of the pixel regions measuring the image quality; assigning an image quality class; and enhancing the image. Also provided is a system for adaptive image enhancement including a circuit to measure the image quality of a pixel region in a frame in a source video image; a circuit to perform an image classification of the region based on the image quality measurement; and a circuit to enhance the image quality of the region in the source video image a by applying operations based on the image classification of the frame.

Abstract: A liquid crystal display (LCD) system including a liquid crystal (LC) panel; an LC panel controller to send output code values to the LC panel; a backlight to illuminate the LC panel; a backlight controller; and a display controller to control the backlight controller and the LC panel controller, and receive input code values from an image source is presented wherein the LCD system uses a dynamic knee point determination of soft clipping to provide output code values to the LC panel. A method for using an LCD system as above is also provided.

Abstract: Systems and methods for correcting color and geometry in an image are disclosed. In one example, image data are received in one format and are then converted to another format to perform color correction. In another example, geometric corrections are first applied to each color component of an image data to correct for different distortions including lateral chromatic aberrations. Next, color distortion corrections are performed to correct for each color component of the image data independently. In one particular exemplary embodiment, color distortion corrections are applied using surface function representation of a grid data transformation relating uncorrected values to corrected values.

Abstract: A method and a system for adaptive image enhancement are provided for measuring the image quality of a pixel region in a frame, performing an image classification based on the image quality measurement, and enhancing image quality by applying operations according to image classification of the region. Also provided is a method as above including the steps of dividing a frame into P pixel regions; and for each one of the pixel regions measuring the image quality; assigning an image quality class; and enhancing the image. Also provided is a system for adaptive image enhancement including a circuit to measure the image quality of a pixel region in a frame in a source video image; a circuit to perform an image classification of the region based on the image quality measurement; and a circuit to enhance the image quality of the region in the source video image a by applying operations based on the image classification of the frame.

Abstract: Systems and methods for correcting color and geometry in an image are disclosed. In one example, image data are received in one format and are then converted to another format to perform color correction. In another example, geometric corrections are first applied to each color component of an image data to correct for different distortions including lateral chromatic aberrations. Next, color distortion corrections are performed to correct for each color component of the image data independently. In one particular exemplary embodiment, color distortion corrections are applied using surface function representation of a grid data transformation relating uncorrected values to corrected values.

Abstract: An edge adaptive system and method for image filtering. The method maps each output pixel onto input image coordinates and then prefilters and resamples the input image pixels around this point to reduce noise and adjust the scale corresponding to a particular operation. Then the edge in the input image is detected based on local and average signal variances in the input pixels. According to the edge detection parameters, including orientation, anisotropy and variance strength, the method determines a footprint and frequency response for the interpolation of the output pixel. In a more particular implementation, the method divides the input pixel space into a finite number of directions called skews, and estimates the edge orientation with the nearest skew direction. This further facilitates pixels inclusion in the interpolation of the output pixel.

Abstract: A method and system for circularly symmetric anisotropic filtering over an extended elliptical or rectangular footprint in single-pass digital image warping are disclosed. The filtering is performed by first finding and adjusting an ellipse that approximates a non-uniform image scaling function in a mapped position of an output pixel in the input image space. A linear transformation from this ellipse to a unit circle in the output image space is determined to calculate input pixel radii inside the footprint and corresponding filter coefficient as a function of the radius. The shape of the footprint is determined as a trade-off between image quality and processing speed. In one implementation, profiles of smoothing and warping components are combined to produce sharper or detail enhanced output image. The method and system of the invention produce natural output image without jagging artifacts, while maintaining or enhancing the sharpness of the input image.

Abstract: A method and system for circularly symmetric anisotropic filtering over an extended elliptical or rectangular footprint in single-pass digital image warping are disclosed. The filtering is performed by first finding and adjusting an ellipse that approximates a non-uniform image scaling function in a mapped position of an output pixel in the input image space. A linear transformation from this ellipse to a unit circle in the output image space is determined to calculate input pixel radii inside the footprint and corresponding filter coefficient as a function of the radius. The shape of the footprint is determined as a trade-off between image quality and processing speed. In one implementation, profiles of smoothing and warping components are combined to produce sharper or detail enhanced output image. The method and system of the invention produce natural output image without jagging artifacts, while maintaining or enhancing the sharpness of the input image.

Abstract: An edge adaptive system and method for image filtering. The method maps each output pixel onto input image coordinates and then prefilters and resamples the input image pixels around this point to reduce noise and adjust the scale corresponding to a particular operation. Then the edge in the input image is detected based on local and average signal variances in the input pixels. According to the edge detection parameters, including orientation, anisotropy and variance strength, the method determines a footprint and frequency response for the interpolation of the output pixel. In a more particular implementation, the method divides the input pixel space into a finite number of directions called skews, and estimates the edge orientation with the nearest skew direction. This further facilitates pixels inclusion in the interpolation of the output pixel.