A video processing device includes an acquirer that acquires video data via a predetermined transmission line, the video data including video and metadata that indicates a first frequency band that is a spatial frequency range in which the video is present; an adjuster that makes sharpness gain adjustment to video such that, among a plurality of regions of the video included in the video data acquired by the acquirer, a sharpness gain for a first region that belongs to the first frequency band indicated by the metadata exceeds a sharpness gain for a second region that belongs to a second frequency band that is a range outside the first frequency band; and an output device that outputs video adjusted by the adjuster.

The disclosure extends to methods, systems, and computer program products for enhancing edges within an image in a light deficient environment, which utilizes knowledge of the expected noise pixel by pixel, to control the strength of the edge enhancement and thereby limit the impact of the enhancement on the perception of noise.

A low-resolution image is displayed at high resolution and power consumption is reduced. Resolution is made higher by super-resolution processing. Then, display is performed with the luminance of a backlight controlled by local dimming after the super-resolution processing. By controlling the luminance of the backlight, power consumption can be reduced. Further, by performing the local dimming ater the super-resolution processing, accurate display can be performed.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

An edge-based sharpness strength control circuit include a first edge determination unit suitable for determining each of multiple regions in a pixel array to be an edge region having edge information on pixel data of the corresponding region or a flat region having flat information on pixel data of the corresponding region, the pixel array including a plurality of pixels; a second edge determination unit suitable for determining each edge region to be a step edge region having directional information within the corresponding edge region or a texture edge region having non-directional information within the corresponding edge region; and a noise removing unit suitable for removing noise from each step edge region using a first filter and for removing noise from each texture edge region using a second filter having a different gain than that of the first filter.

A low-resolution image is displayed at high resolution and power consumption is reduced. Resolution is made higher by super-resolution processing. Then, display is performed with the luminance of a backlight controlled by local dimming after the super-resolution processing. By controlling the luminance of the backlight, power consumption can be reduced. Further, by performing the local dimming ater the super-resolution processing, accurate display can be performed.

A low-resolution image is displayed at high resolution and power consumption is reduced. Resolution is made higher by super-resolution processing. Then, display is performed with the luminance of a backlight controlled by local dimming after the super-resolution processing. By controlling the luminance of the backlight, power consumption can be reduced. Further, by performing the local dimming after the super-resolution processing, accurate display can be performed.

The disclosure extends to methods, systems, and computer program products for enhancing edges within an image in a light deficient environment, which utilizes knowledge of the expected noise pixel by pixel, to control the strength of the edge enhancement and thereby limit the impact of the enhancement on the perception of noise.

The present disclosure describes an image processor of a display device. The image processing includes a pre-processor, a segmentation processor, and a correction processor. The pre-processor performs spatial filtering on an input image signal and output a line image signal. The segmentation processor classifies a class of the line image signal and outputting a segmentation signal representing the class. The correction processor corrects the segmentation signal based on the line image signal. Additionally, the correction processor detects a class boundary of the segmentation signal, detects an edge within an edge region of the line image signal corresponding to the class boundary, and corrects the segmentation signal based on the detected edge.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.