Abstract:
An image processor includes a receiving unit, an information analyzer and an adjusting circuit. The receiving unit is arranged for receiving image/video data and corresponding metadata, the information analyzer is arranged for analyzing the metadata of the image/video data to generate at least one analyzing result for indicating a strength of an image/video quality enhancement, and the adjusting circuit is arranged for adjusting an image/video quality according to the analyzing result.
Abstract:
Various examples with respect to adaptive infrared (IR) projection control for depth estimation in computer vision are described. A processor or control circuit of an apparatus receives data of an image based on sensing by one or more image sensors. The processor or control circuit also detects a region of interest (ROI) in the image. The processor or control circuit then adaptively controls a light projector with respect to projecting light toward the ROI.
Abstract:
An image processor includes a receiving unit, an information analyzer and an adjusting circuit. The receiving unit is arranged for receiving image/video data and corresponding metadata, the information analyzer is arranged for analyzing the metadata of the image/video data to generate at least one analyzing result for indicating a strength of an image/video quality enhancement, and the adjusting circuit is arranged for adjusting an image/video quality according to the analyzing result.
Abstract:
An image processing method performed by an image processor includes: receiving an image, wherein the image comprises a plurality of pixels having different strengths of at least one color; unevenly adjusting the strengths of the at least one color of specific pixels to generate a processed image.
Abstract:
An electronic image stabilization (EIS) method includes: obtaining video frames derived from an output of an image sensor, wherein each of the video frames has a full field of view (FOV) of the image sensor; obtaining motion information of the video frames; dynamically estimating, by a processing circuit, EIS margins according to FOV variation of a plurality of cropped images within the video frames respectively; and applying stabilization correction to the cropped images according to the motion information and the EIS margins, to generate a plurality of stabilized images.
Abstract:
A video controller and method for performing tone-mapping of high-dynamic-range (HDR) video are provided. The video controller includes: a color-space converter, arranged to receive an input high-dynamic-range (HDR) video signal and perform a color space conversion on the input HDR video signal to obtain a first video signal having a first gamma curve; a de-gamma unit, arranged to apply a second gamma curve on the first video signal to compensate the first gamma curve to obtain a second video signal; a first histogram calculator, arranged to calculate a first histogram of a current frame of the second video signal; and a tone-mapping unit, arranged to apply a tone-mapping curve on the current frame of the second video signal according to a histogram of a previous frame of the second video signal to generate an output video signal.
Abstract:
Methods and apparatuses pertaining to adaptive display partial update may involve determining whether partial update for an image frame is allowed and, responsive to a determination that the partial update for the image frame is allowed, determining whether the partial update is applicable to the image frame. Responsive to a determination that the partial update is applicable to the image frame, whether or not at least a difference between one or more properties of the image frame and one or more properties of a previous image frame exceeds a threshold may be determined. A partial-frame processing may be performed to partially update the image frame responsive to a determination that the difference does not exceed the threshold.
Abstract:
A technique, as well as select implementations thereof, pertaining to dynamic content adaptive frame rate conversion is described. The technique may involve analyzing information associated with two or more video frames of a stream of video frames. The technique may also involve dynamically adjusting a frame rate of the two or more video frames of the stream of video frames based on a result of the analyzing.
Abstract:
An image processing method comprising: (a) receiving at least one input image; (b) acquiring depth map from the at least one input image; and (c) performing a defocus operation according to the depth map upon one of the input images, to generate a processed image.