Abstract:
A method and an apparatus for concealing an error of an apparatus for receiving an audio frame in a communication system are provided. The includes determining whether the error occurs in a current audio frame that is received from a transmitter, determining whether the audio frame includes a signal that corresponds to a preset specific frequency when the error occurs, setting a gain of the signal that corresponds to the specific frequency to be lower than a preset limit value if the audio frame includes the signal, and concealing the error of the current audio frame based on a previous audio frame of the audio frame in which the error occurs and the gain of the signal that corresponds to the set specific frequency.
Abstract:
An image processing apparatus includes a luminance calculator configured to convert input image data into luminance image data including luminance values of a plurality of pixels, a noise calculator configured to generate sum values obtained by adding noise values corresponding to neighboring pixels around a target pixel of the plurality of pixels, to the luminance values of the neighboring pixels, a tone mapper configured to generate first and second mapping data by applying a first tone curve and a second tone curve to a luminance value of the target pixel and the sum values of the neighboring pixels, a characteristic value calculator configured to calculate first and second weights for the first and second mapping data, a gain blender configured to adjust the first and second weights and generate output image data, and a display device configured to display the output image data.
Abstract:
Provided are image signal processing apparatuses and methods for operating the same. In an embodiment, the image signal processing apparatus is configured to receive, from an image sensor device, an input image. The apparatus is further configured to perform a binning and crop operation on the input image to generate a first image. The apparatus is further configured to perform a Bayer domain processing on the first image to generate a second image. The apparatus is further configured to perform RGB domain processing on the second image to generate a third image. The apparatus is further configured to perform YUV domain processing on the third image to generate an output image. The YUV domain processing comprises at least one of a spatial de-noising operation, a temporal de-noising operation, a motion compensation operation, a tone mapping operation, a detail enhance operation, and a sharpening operation.
Abstract:
A processor-implemented method with super resolution includes: determining a direction type of an input image based on a gradient of the input image; acquiring a first intermediate image that is a super-resolution image corresponding to the input image based on a residual look-up table (LUT) corresponding to a kernel set mapped to the determined direction type; determining a LUT strength map of the input image based on the gradient of the input image and a preset tuning parameter; and generating an output image that is a super-resolution image of the input image based on the LUT strength map and the first intermediate image.
Abstract:
An image processing device includes a memory device that stores a color conversion module, and one or more processors that access the memory device and execute the color conversion module to calculate a color gamut of an input image and perform color conversion of the input image by applying different color conversion matrices according to the color gamut.
Abstract:
An image signal processor, a method of operating the image signal processor, and an application processor including the image signal processor are provided. The image signal processor includes: a low level image generation circuit configured to generate a plurality of low level images by reducing resolutions of a plurality of images; and a high dynamic range (HDR) circuit configured to generate a saturation map and a motion map based on the plurality of low level images, generate a stitch map by synthesizing the saturation map with the motion map, and generate an HDR image by applying a weight to the generated stitch map.
Abstract:
Provided are image signal processing apparatuses and methods for operating the same. In an embodiment, the image signal processing apparatus is configured to receive, from an image sensor device, an input image. The apparatus is further configured to perform a binning and crop operation on the input image to generate a first image. The apparatus is further configured to perform a Bayer domain processing on the first image to generate a second image. The apparatus is further configured to perform RGB domain processing on the second image to generate a third image. The apparatus is further configured to perform YUV domain processing on the third image to generate an output image. The YUV domain processing comprises at least one of a spatial de-noising operation, a temporal de-noising operation, a motion compensation operation, a tone mapping operation, a detail enhance operation, and a sharpening operation.