Abstract:
Various examples with respect to method and apparatus for active stereo vision are described. An apparatus may include an electromagnetic (EM) wave emitter, a first sensor and a second sensor. During operation, the EM wave emitter emits EM waves toward a scene, the first sensor captures a first image of the scene in an infrared (IR) spectrum, and the second sensor captures a second image of the scene in a light spectrum. The first image and second image, when processed, may enable active stereo vision.
Abstract:
Various examples with respect to method and apparatus for active stereo vision are described. An apparatus may include an electromagnetic (EM) wave emitter, a first sensor and a second sensor. During operation, the EM wave emitter emits EM waves toward a scene, the first sensor captures a first image of the scene in an infrared (IR) spectrum, and the second sensor captures a second image of the scene in a light spectrum. The first image and second image, when processed, may enable active stereo vision.
Abstract:
A display control apparatus includes a viewing condition recognition circuit, a content classification circuit, and a display adjustment circuit. The viewing condition recognition circuit recognizes a viewing condition associated with a display device to generate a viewing condition recognition result. The content classification circuit analyzes an input frame to generate a content classification result of contents included in the input frame. The display adjustment circuit generates an output frame by performing image content adjustment according to the viewing condition recognition result and the content classification result, wherein the image content adjustment comprises at least content-adaptive adjustment applied to at least a portion of pixel positions of the input frame based on the content classification 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 asymmetric image fusion method is applied to an operation device and includes acquiring a first image stream with a first frame rate, acquiring a second image stream with a second frame rate different from the first frame rate, and fusing a first reused image frame of the first image stream with a set of second image frames of the second image stream respectively for outputting a set of fused image frames.
Abstract:
Various schemes pertaining to generating a full-frame color image using a hybrid sensor are described. An apparatus receives sensor data from the hybrid sensor, wherein the sensor data includes partial-frame chromatic data of a plurality of chromatic channels and partial-frame color-insensitive data. The apparatus subsequently generates full-frame color-insensitive data based on the partial-frame color-insensitive data. The apparatus subsequently generates the full-frame color image based on the full-frame color-insensitive data and the partial-frame chromatic data. The apparatus provides benefits of enhancing image quality of the full-frame color image especially under low light conditions.
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:
Various examples pertaining to utilization of a resizer in image processing are described. A processor of an apparatus receives image data of a captured image from an image sensor. The processor processes the image data through a pipeline in which the image data is resized before further processing is performed to provide processed data of a processed image used in preview or video recording.