Abstract: An image processing apparatus including an image processing circuit is provided. The image processing circuit is configured to perform a subpixel conversion operation on an input image of a first format to convert the input image of the first format to the input image of a second format; obtain a first detection result with respect to a target pixel of the input image of the first format; determine a filter parameter with respect to the target pixel according to the first detection result; and perform a subpixel rendering operation on the input image of the second format according to the determined filter parameter to obtain an output image.

Abstract: The present disclosure relates to a method and device for processing image data and a display device including the device for processing image data. The device for processing image data includes: an edge detector for receiving image data to be displayed, and performing edge detection on the image data to identify edge subpixel points; a brightness comparator for comparing brightnesses of the identified edge subpixel points with a preset brightness; a brightness attenuator for attenuating brightnesses of edge subpixel points which have a brightness greater than the preset brightness to obtain image data to be transmitted; and a data transmitter for transmitting the image data to a source driver. The present disclosure can effectively eliminate zigzag edges, and meanwhile guarantee the sharpness at edges of an image.

Abstract: A testing circuit is arranged in a semiconductor integrated circuit so as to detect a delay fault in the semiconductor integrated circuit. The semiconductor integrated circuit includes a first output control circuit having a plurality of sequential circuits, a first combination circuit connected to the first output control circuit, and a memory circuit connected to the first combination circuit. The testing circuit includes the first output control circuit; a second output control circuit; and a third output control circuit. The testing circuit, under control of a testing apparatus connected to the semiconductor integrated circuit, is configured to perform steps to detect the delay fault in the semiconductor integrated circuit.

Abstract: A method for registration of medical images comprises: receiving a 2D X-ray image (20) acquired with a medical 2D imaging device (14) under a first view direction; filtering the 2D X-ray image (20), such that high frequency components of the 2D X-ray image are emphasized with respect to low frequency components of the 2D X-ray image; receiving a 3D image (16) acquired with a medical 3D imaging device (12); generating a 2D projection image (26) from the 3D image, wherein the 2D projection image is generated with a second view direction; overlaying the filtered 2D X-ray image and the 2D projection image; providing functionality for changing the second view direction, such that the 2D projection image is registered with the filtered 2D X-ray image.

Abstract: The latest progresses in breast imaging using differential phase contrast techniques pose the question of how to fuse multiple information sources, yielded by absorption, differential phase, and scattering signals, into a single, informative image for clinical diagnosis. It is proposed to use an image fusion scheme based on a multiple-resolution framework. The three signals are first transformed into multiple bands presenting information at different frequencies and then a two-step processing follows: (1) intra-band processing enhances the local signal-to-noise ratio using a novel noise estimation method and context modeling; and (2) inter-band processing weights each band by considering their characteristics and contributions, and suppressing the global noise level. The fused image, looking similar to a conventional mammogram but with significantly enhanced detail features, is reconstructed by inverse transform.

Abstract: An image processing device includes: a compression unit that compresses original image data in units of a block; a first position correction unit that shifts positions of respective pixels contained in the original image data compressed by the compression unit such that the positions are shifted in a sub scanning direction; an expansion unit that expands the original image data shifted by the first position correction unit; and a second position correction unit that converts resolution of the original image data into higher resolution, and shifts the positions of the respective pixels of the converted original image data, wherein the first shift amount is a shift amount set in units of a shift corresponding to an integral multiple of the block, and the second shift amount is a shift amount set in units of a shift corresponding to one pixel with high resolution converted by the second position correction unit.

Abstract: A system, device, and method for generating and presenting enhanced image content are disclosed. The enhanced image content presenting system may include a display system receiving enhanced spatial image pixel (SIP) data from an image processor (IP). The IP may be configured to acquire one or more first frequency image pixel (FIP) data, create one or more second FIP data as a function of the at least one first FIP data; determine one or more first enhancement metrics as a function of the one or more second FIP data; and enhance each one of the FIP data as a function of one first enhancement metric or a combination of the first enhancement metrics. In some embodiments, each FIP data may have been formed as a layer of a Laplacian pyramid that results from a deconstruction of pre-enhanced SIP data.

Abstract: An audio signal processing circuit includes a first obtaining unit, a regulation unit, a second obtaining unit, and a synthesis unit. The first obtaining unit obtains high-frequency audio signals from original audio signals. The regulation unit obtains a volume of the original signals and amplifies the high-frequency signals according to an amplification factor having a positive correlation with the volume of the original audio signals, to output improved audio components. The second obtaining unit obtains reference audio signals from the original audio signals. The synthesis unit synthesizes the improved audio components and the reference audio signals to output improved audio signals.

Abstract: A first sum is calculated which is a sum of light intensities of dispersed lights generated when a pixel light by a target pixel passes through an optical system, and a first light intensity is calculated by adding the first sum to a light intensity of the pixel light of the target pixel. A second sum is calculated which is a sum, at a position of the target pixel, of each of light intensities of dispersed lights generated when each of pixel lights by pixels around the target pixel pass through the optical system. A second light intensity of the pixel light by the target pixel is calculated by subtracting the second sum from the first light intensity.

Abstract: An apparatus and method to produce a hologram of a cross-section of an object includes an electromagnetic radiation assembly configured to receive a received electromagnetic radiation, such as light, from the object. The electromagnetic radiation assembly is further configured to diffract the received electromagnetic radiation and transmit a diffracted electromagnetic radiation. An image capture assembly is configured to capture an image of the diffracted electromagnetic radiation and produce the hologram of the cross-section of the object from the captured image. The hologram of the cross-section includes information regarding a single cross-section of the object.

Abstract: System, apparatus, method, and computer readable media for edge-enhanced non-local means (NLM) image denoising. In embodiments, edge detail is preserved in filtered image data by weighting of the noisy input target pixel value with other pixel values based on self-similarity and further informed by a data-driven directional spatial filter. Embodiments herein may denoise regions of an image lacking edge characteristics with a more uniform spatial filter than those having edge characteristics. In embodiments, directionality of a spatial filter function is modulated based on an edge metric to increase the weighting of pixel values along an edge when there is a greater probability the edge passes through the target pixel. In further embodiments, the adaptive spatial filter is elliptical and oriented relative to a spatial gradient direction with non-uniform filter widths that are based on the edge metric.

Abstract: Wireless communication link bandwidth utilization monitoring apparatus and methods are disclosed. Utilization of bandwidth on a wireless communication link is monitored to generate bandwidth utilization information. In order to provide a record of the distribution of bandwidth utilization, durations of bandwidth utilization above respective different thresholds might be determined. Such distributions could be useful for such purposes as network analysis and/or customer billing based on actual wireless bandwidth usage. Bandwidth utilization information may be collected from multiple wireless link nodes, illustratively the wireless link nodes at both ends of monitored wireless communication links, to allow total bandwidth utilization for bi-directional communications over the monitored links to be determined.

Abstract: Image details are created for an image. An image is processed to obtain image information. Detected texture samples are processed to obtain texture information. A processor device is used for transforming received image information for obtaining frequency domain information. The texture information is used for determining a lifting factor. A frequency distribution is determined for the frequency domain information using the lifting factor for creating particular frequency. An inverse transformation is performed on an updated frequency distribution for creating output image blocks. The output image blocks are combined to create image details for a lifted image. The lifted image is mixed with the image.

Abstract: Presented herein are caching structures and apparatus for use in block based video. In one embodiment, there is described a system receiving lower resolution frames and generating higher resolution frames. The system comprises an upsampling circuit, a first circuit, and a second circuit. The upsampling circuit upsamples a particular lower resolution frame, thereby resulting in an upsampled frame. The first circuit maps frames that are proximate to the particular frame, to the particular frame. The second circuit simultaneously updates the upsampled frame with two or more blocks from at least one of the frames that are proximate to the particular frame.

Abstract: Some of the embodiments of the present disclosure provide a method comprising receiving image data generated by an imaging device. The image data represents an image captured by the imaging device and the image includes image edges. The method further comprises receiving sensor data related to sensor gain used by the imaging device for capturing the image, and adjusting the image data to modify sharpness of the image edges of the image. The adjusting is based, at least in part, on the sensor data.

Abstract: Provided are a method and device for automatically controlling a state indicator of a terminal device. The method comprises: brightness of a working environment of a terminal device is detected in real time to acquire a brightness signal of the working environment of the terminal device; a current electric level value of the brightness signal is determined according to a variation of the electric level value of the brightness signal within a preset duration; the current electric level value is determined as a light-on electric level value or a light-off electric level value by using a preset threshold; and the state indicator of the terminal device is controlled to carry out a light-on or light-off operation according to the determined light-on electric level value or light-off electric level value.

Abstract: A television receiver includes: an edge gradient direction setting section configured to set an edge gradient direction of an interpolation pixel by use of input pixels within a reference block; a temporary reference coordinate setting section (65) configured to set four reference pixels to be vertices of a parallelogram having two sides perpendicular to the edge gradient direction; a reference pixel value setting section (66) configured to set, by use of the input pixels within the reference block regardless of whether a first reference pixel and/or a second reference pixel of the four reference pixels is/are located inside or outside the reference block, reference pixel values which are pixel values of the respective four reference pixels; and an interpolation pixel value calculating section (67) configured to calculate a pixel value of the interpolation pixel by use of the reference pixel values of the respective four reference pixels.

Abstract: A duty ratio correction circuit includes: a buffer circuit configured to generate a second signal based on a first signal, the second signal having a DC component corresponding to a first control signal; a waveform shaping section configured to shape a waveform of the second signal to generate a third signal that is a target of duty ratio correction; a first capacitor; and a first charge-discharge control circuit configured to selectively charge or discharge the first capacitor based on the third signal, to generate the first control signal.

Abstract: According to an image processing apparatus includes an acquisition unit, a storage unit, and a convolution unit. The acquisition unit is configured to acquire an input image captured via an optical system. The storage unit is configured to store therein a coefficient designed through learning for each of positions of respective pixel sets referred to in a convolution such that a result of the convolution of a second image with the coefficient is brought nearer to a first image, the second image being obtained by deteriorating the first image through a predetermined deterioration process. The convolution unit is configured to read the coefficient from the storage unit correspondingly to a position of a pixel set referred to in the input image, and generate an output image by convoluting the pixel set with the coefficient.

Abstract: Disclosed is a method including converting, during a first pass, video data from a first multi-component format to an intermediate multi-component format, the intermediate multi-component format including a first video component, the intermediate multi-component format including a second video component interleaved with a third video component, and converting, during a second pass, the video data from the intermediate multi-component format to a second multi-component format by de-interleaving the second component and third component.

Abstract: The invention discloses a mode detection circuit and a method thereof, for detecting an image signal, the image signal includes a horizontal resolution and the vertical resolution. The mode detection circuit includes a measuring unit, a calculation unit, and a decision unit. The measuring unit receives a clock signal and is used to count the clock signal to output a first counting value and the second counting value. The calculation unit is used to perform the calculation with the first counting value and the second counting value and thereby outputting a calculating value, wherein the calculating value outputted by the calculation unit is corresponding to the ratio of the first counting value to the second counting value. The decision unit is used to determine the horizontal resolution or the vertical resolution according to the calculating value.

Abstract: Systems and methods are provided for simulating strobe effects with digital image content. In one embodiment, an image manipulation application can receive image content. The image manipulation application can generate blurred image content by applying a blurring operation to a portion of the received image content along a blur trajectory. The image manipulation application can sample pixels from multiple positions in the received image content along the blur trajectory. The image manipulation application can generate a simulated strobe images based on the sampled pixels and at least some of the blurred image content.

Abstract: Described is a technology by which a low-resolution image is processed into a high-resolution image, including by performing processing in the gradient domain. A gradient profile corresponding to the lower-resolution image is transform into a sharpened image gradient. A high-resolution gradient profile is estimated from a low-resolution gradient profile, e.g., by multiplying the low-resolution gradient profile by a transform ratio that is based upon learned shape parameters, learned sharpness values and a curve distance to an edge pixel along the gradient profile. The transform ratio is used to transform a low-resolution gradient field to a high-resolution gradient field. Reconstructing the higher-resolution image is performed by using the high-resolution gradient field as a gradient domain constraint, e.g., in along with a reconstruction constraint obtained from image domain data. An energy function is minimized by enforcing the gradient domain constraint and the reconstruction constraint, e.g.

Abstract: An image processing method for processing an input image is provided. The image processing method includes: performing a plurality of first imaging processing operations on the input image to generate a first image; and performing a plurality of second imaging processing operations on the first image. Each of the first imaging processing operations is along a first direction, and the plurality of first imaging processing operations include a first scaling operation for increasing resolution. Each of the second imaging processing operations is along a second direction different from the first direction, and the plurality of second imaging processing operations include a second scaling operation for increasing resolution.

Abstract: Systems and methods may provide for conducting a real-time perceptual quality analysis of a video, wherein the perceptual quality analysis includes at least one of a noise measurement, a contrast measurement and a sharpness measurement. One or more strength parameters of one or more post-processing modules in a video processing pipe may be set based on the perceptual quality analysis resulting in overall video processing that adapts to the changing perceptual quality of the input. In one example, the strength parameters include at least one of a contrast parameter and a de-noising parameter. The invention results in visually enhanced video at the output of the post-processing module.

Abstract: The invention discloses a method and terminal device for improving video signal definition. The method includes: acquiring information of a connected display device; selecting a corresponding definition improving algorithm according to the acquired information of the display device to process video output signals, and finally outputting the processed video signals to the display device for display. By adopting the above technical scheme, the problem in the prior art of fuzzy or unclear display images caused by mismatching between output images of the mobile device and the connected display device as a uniform fixed algorithm is adopted to magnify images when a mobile device is connected to a display device for video play is solved.

Abstract: A method for estimating signal-dependent noise includes defining a plurality of pixel groups from among the image pixels. The method further includes computing, for one or more signal levels of the image, a difference value between two pixel groups, whereby a respective one or more difference values are computed collectively. The method determines an estimated noise response of the image as a function of the one or more computed difference values.

Abstract: Image or video from a cell phone is processed to expand the image in a way to display it on a high definition video screen.

Abstract: A video processing system includes a network processing module configured to receive video content. A decoder module is configured to decode the video content received from the content transmitting system, and separately provide each of the decoded video content and data describing transmission features of the video content. A video quality estimation module is configured to estimate a quality factor based on the data describing the transmission features of the video content, wherein the quality factor corresponds to an estimation of a visual quality of the video content. A database control module configured to select, based on the quality factor, one of a plurality of predetermined settings for video post-processing. A video post-processing module is configured to receive the decoded video content separately provided from the decoder module, and process the decoded video content based on the selected one of the predetermined settings.

Abstract: A method for detecting edges in a video field, comprising the steps of: selecting edges for a pixel of the video field; determining sum of absolute differences (“SAD”) values for the selected edges; determining inverse SAD (“ISAD”) values for the selected edges; and detecting one or more certain ones of the selected edges as a valid edge as a function of the determined SAD values and the determined ISAD values.

Abstract: A system and method for enhancing the detail edges and transitions in an input video signal. This enhancement may be accomplished by enhancing small detail edges before up-scaling and enhancing large amplitude transitions after up-scaling. For example, detail edge enhancement (detail EE) may be used to enhance the fine details of an input video signal. An edge map may be used to prevent enhancing the large edges and accompanying mosquito noise with the detail enhancement. Noise may additionally be removed from the signal. After the fine details are enhanced, the signal may be up-scaled. Luminance transition improvement (LTI) or chrominance transition improvement (CTI) may be used to enhance the large transitions of the input video signal post scaler.

Abstract: A method is provided for block artifact detection and block artifact determination using multiple features in coded images and video. A method includes identifying a plurality of overlapping blocks in a picture with respect to a current block. Each of the plurality of overlapping blocks covers a portion of the current block and a portion of an adjacent block. The method further includes transforming at least one of the plurality of overlapping blocks into respective coefficients corresponding to at least one of a luminance component and a chrominance component. The method also includes identifying a block artifact for the at least one of the plurality of overlapping blocks when coefficients corresponding to the at least one of the plurality of overlapping blocks are larger than a predefined value.

Abstract: A color adjustment system for a display device includes a computer device, and a display device for displaying an image. The display device selectably displays a plurality of color temperature color presets. The computer device makes a white point adjustment to the display device, based on a color temperature color preset selected from among the plurality of color temperature color presets by a selecting operation from the computer device.

Abstract: A method for applying filters to digital images with minimal amplification of image noise, comprising filtering the digital image with an EPDR edge-preserving detail-reducing filter, determining a matrix from the filtered image as a result of one or more structure adaptive functions, and modifying the digital image using the filter, adjusted by the matrix values, to produce an enhanced digital image. The order of processing may be inverted, by first determining the matrix and then filtering the matrix with the edge-preserving detail-reducing filter.

Abstract: An image processing circuit and a method thereof are provided herein. The image processing circuit has a first scaling circuit, one or more line buffers, a first sharpness circuit, a second scaling circuit, and a second sharpness circuit. The first scaling circuit enlarges an input image along a first direction to generate a first enlarged image. The one or more line buffers temporarily store the pixel values of a plurality of pixel rows of the first enlarged image. The first sharpness circuit vertically sharpens the first enlarged image to generate a first sharpened image. The second scaling circuit enlarges the first sharpened image along a second direction to generate a second enlarged image. The second sharpness circuit horizontally sharpens the second enlarged image to generate a second sharpened image. Accordingly, it is possible to use the one or more line buffers having shorter data lengths to perform the vertical sharpening.

Abstract: Systems and methods are provided for upscaling a digital image. A digital image to be upscaled is accessed, where the digital image comprises a plurality of pixel values. A first half pixel value is computed for a first point in the digital image based on a plurality of pixel values of the digital image surrounding the first point and an activity level. A second half pixel value is computed for a second point in the digital image, and an interpolated pixel of an upscaled version of the digital image is determined using a plurality of the pixel values, the first half pixel value, and the second half pixel value.

Abstract: It is determined whether or not an input image is an image converted from an image with a relatively low resolution based on one frame of an image. A resolution determination device includes: an edge strength calculator configured to obtain an edge strength of a pixel included in an input image based on luminance of the pixel and luminance of a pixel adjacent to the pixel, for each of a plurality of pixels included in the input image; and a resolution determiner configured to determine whether or not the input image is an image upconverted from an image with a predetermined resolution or less, based on distribution of the edge strengths.

Abstract: A method and apparatus for optimizing image quality based on scene content comprising a sensor for generating a sequence of frames where each frame in the sequence of frames comprises content representing a scene and a digital processor, coupled to the sensor, for performing scene content analysis and for establishing a window defining a number of input frames from the sensor and processed output frames, and for aligning and combining the number of frames in the window to form an output frame, wherein sensor parameters and frame combination parameters are adjusted based on scene content.

Abstract: An image processing apparatus having an input unit for inputting an image signal and an image corrector for correcting the input image signal is disclosed. The image corrector is arranged to extract from the input image signal a specular reflection component and a diffuse reflection component and generate a corrected image signal based on a computation result with respect to these specular and diffuse reflection components thus extracted. This image corrector is adaptable for use in various types of image processors, including projectors, display devices and imaging devices.

Abstract: A band processing circuit which generates image signals corresponding to different frequency bands from an image signal in which signals corresponding to different colors are arranged and which suppresses noise by synthesizing the image signals of the different frequency bands, a sampling circuit which generates image signal corresponding to the colors by sampling the image signal input from the band processing circuit in accordance with a predetermined arrangement, and a luminance/color generation circuit which generates a luminance signal in which aliasing is suppressed using an image signal output from the sampling circuit.

Abstract: An image processing apparatus includes, a color correction unit performing color correction on RGB signals to generate color-corrected RGB signals; a YC conversion unit converting the color-corrected RGB signals into a first luminance signal and a color-difference signal; a Y conversion unit generating a second luminance signal based on the RGB signals; an edge combination unit combining the first luminance signal with the second luminance signal; an edge adjustment unit obtaining an edge-adjusted signal based on a result of the combining by the edge combination unit; and an adder adding the first luminance signal to the edge-adjusted signal.

Abstract: A method and an apparatus are provided for determining whether a-low resolution image is converted to a high-resolution image, and enhancing image quality of a video signal. The image processing method includes steps of receiving a video stream; determining whether the video stream includes a converted image converted from a low-resolution image to a high-resolution image; and enhancing image quality of the video stream when the video stream includes the converted image.

Abstract: An image processing apparatus for sharpening edge boundaries of an image is provided. The image processing apparatus includes a transient improvement (TI) circuit and a color protection circuit. The TI circuit receives multiple original pixel data and performs a TI process on an original target pixel data from the original pixel data to output first and second TI chroma signals corresponding to the original pixel data. The color protection circuit respectively compares the first and second TI chroma signals with first and second original chroma signals of the original pixel data to correspondingly generate a weighting value, and outputs first and second adjusted chroma signals according to the weighting value, the first and second original chroma signals, and the first and second TI chroma signals.

Abstract: In one embodiment, the methods and apparatuses detect content that represents original image information; detect a direction of the content wherein the direction corresponds to a portion of the original image information; compare a variation between adjacent pixels that are represented by the original image information; and generate new image information based on the direction of the content and the variation between the adjacent pixels.

Abstract: A signal processing device (201) includes noise reduction units (101), cascade-connected to each other, each of which includes: a signal selection section (31) for selecting a representative value from sampled signals obtained from an input signal by sampling a target signal and signals which are away from the target signal by given intervals; a voltage determination section (51) for determining which of a determined representative value and a voltage of the target signal is larger; and a signal output section (61) for increasing or decreasing the voltage of the target signal depending on a result of the determining and outputs the target signal as the output signal. A combination of intervals between the target signal and the signals excluding the target signal vary from noise reduction unit (101) to noise reduction unit (101). A noise reduction unit on a more upstream side has a larger maximum value of the intervals.

Abstract: A video signal processing apparatus for processing a video signal comprises a receive unit (101, 103, 105) which receives the video signal comprising a sequence of pictures. A processing unit (107) applies a picture noise changing algorithm to the sequence of pictures and a variation unit (113) varies a spatial noise reduction setting for the picture noise changing algorithm between at least some consecutive pictures of the sequence of pictures in response to a predetermined variation rule. Specifically a set of picture manipulation processes (203, 205) with different spatial noise reduction characteristics may be provided and the variation unit (113) may select different picture manipulation processes in consecutive pictures. The approach may introduce high frequency noise flickering which is less perceptible to a viewer thereby reducing the perceived noise.

Abstract: Embodiments for video content source resolution detection are provided. Embodiments enable systems and methods that measure video content source resolution and that provide image-by-image source scale factor measurements to picture quality (PQ) processing modules. With the source scale factor information, PQ processing modules can be adapted dynamically (on a picture-by-picture basis) according to the source scale factor information for better picture quality enhancement. In addition, embodiments provide source resolution detection that is minimally affected by video coding artifacts and superimposed content (e.g., graphics).

Abstract: A video processing device may compare a pixel or group of pixels of a current video picture to a pixel or group of pixels of a previous video picture. The video processing device may generate a motion vector for the pixel or group of pixels of the current video picture based on the comparison. The video processing device may determine an amount of filtering to be applied to the pixel or group of pixels of the current video picture. The video processing device may adjust the determined amount of filtering to be applied to the pixel or group of pixels based on the generated motion vector and based on a brightness value.

Abstract: A projector includes an input unit which inputs an image signal, a projection unit which projects an achromatic luminance image and a chromatic image on the basis of the image signal input by the input unit, an image processing unit which performs a sharpening processing to emphasize a high-frequency component in the image signal in accordance with a sharpening parameter to the image signal input by the input unit, and a projection control unit which controls a luminance image projection time of the luminance image for the chromatic image projected in the projection unit, a value of the sharpening parameter and the luminance image projection time being associated with each other.

Abstract: A video-information-processing apparatus comprising: a smoothing unit to smooth input video information of a plurality of pixels and generate smoothed video information; a subtraction unit to calculate a gradation difference between the input and smoothed video information; a mixing unit to mix the input and smoothed video information at a ratio corresponding to the difference and generate mixed video information; a determination unit to determine whether or not a peripheral pixel region, including each pixel in the input video information and pixels located around the pixel, is a low-frequency region not including a gradation change greater than or equal to a predetermined gradation change; and an output-selection unit to output the mixed video information when the determination unit determines that the peripheral pixel region is the low-frequency region and output the input video information when the determination unit determines that the peripheral pixel region is not the low frequency region.