Abstract: A channel hiatus correction method for an HDMI device is provided. A recovery code from scrambled data of the stream is obtained. A liner feedback shift register (LFSR) value of channels of the HDMI port is obtained based on the recovery code and the scrambled data of the stream. The stream is de-scrambled according to the LFSR value of the channels of the HDMI port. Video data is displayed according to the de-scrambled stream.

Abstract: A multi-piece wheel frame includes a rim and a disc. The rim includes a barrel, and an outer rim portion protruding outwardly from the barrel. The outer rim portion forms an inclined surface, and a ring edge surface connected to an outer edge of the inclined surface and cooperating with the inclined surface to form an obtuse angle. The disc is fixed to the rim, and includes a disc core, a plurality of spoke portions extending radially outwardly from the disc core, and a reinforced ring portion connected to the spoke portions and fixed to the outer rim portion. The reinforced ring portion abuts against at least one of the inclined surface and the ring edge surface.

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 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 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 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: A camera device is provided. The camera device includes: a first imaging section, a second imaging section, a third imaging section, and a processor. The first imaging section, second imaging section, and third imaging section capture a first image, a second image, and a third image of a scene with a first field of view (FOV), a second FOV, and a third FOV. The processor is configured to generate a first output image by performing a first image-fusion process on at least two of the first image, the second image, and the third image in response to a zooming factor of the camera device being between a first zooming factor and a second zooming factor, wherein the first FOV is wider than the second FOV, and the second FOV is wider than the third FOV, and the second zooming factor is greater than the first zooming factor.

Abstract: Various examples pertaining to emission and reception of patterned light waves for range sensing are described. An apparatus emits a light having a spatial pattern toward a scene. The apparatus performs range sensing of the scene using a hybrid of techniques based on a plurality of effects caused by the emitting of the light. The plurality of techniques include two or more active depth sensing techniques or a passive depth sensing technique and at least one active depth sensing technique.

Abstract: A camera device is provided. The camera device includes: a first imaging section, a second imaging section, a third imaging section, and a processor. The first imaging section, second imaging section, and third imaging section capture a first image, a second image, and a third image of a scene with a first field of view (FOV), a second FOV, and a third FOV. The processor is configured to generate a first output image by performing a first image-fusion process on at least two of the first image, the second image, and the third image in response to a zooming factor of the camera device being between a first zooming factor and a second zooming factor, wherein the first FOV is wider than the second FOV, and the second FOV is wider than the third FOV, and the second zooming factor is greater than the first zooming factor.

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 camera device is provided. The camera device includes: a first imaging section, a second imaging section, a third imaging section, and a processor. The first imaging section, second imaging section, and third imaging section capture a first image, a second image, and a third image of a scene with a first field of view (FOV), a second FOV, and a third FOV. The processor is configured to generate a first output image by performing a first image-fusion process on the first image, the second image, and a third image in response to a zooming factor of the camera device being between a first zooming factor and a second zooming factor, wherein the first FOV is wider than the second FOV, and the second FOV is wider than the third FOV, and the second zooming factor is greater than the first zooming factor.

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: 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: 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 camera device is provided. The camera device includes: a first imaging section, a second imaging section, a third imaging section, and a processor. The first imaging section, second imaging section, and third imaging section capture a first image, a second image, and a third image of a scene with a first field of view (FOV), a second FOV1 and a third FOV. The processor is configured to generate a first output image by performing a first image-fusion process on the first image, the second image, and a third image in response to a zooming factor of the camera device being between a first zooming factor and a second zooming factor, wherein the first FOV is wider than the second FOV, and the second FOV is wider than the third FOV, and the second zooming factor is greater than the first zooming factor.

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 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: The present invention provides a see-through augmented reality device coupled to a head-mounted display, the device comprises: a camera configured to capture an image; a 2-axis gimbal coupled to the camera and configured to stabilize the camera; a servo motor coupled to the camera and configured to control the rotations of the camera; a microcontroller coupled to the servo motor and configured to control the servo motor; a multiplexer coupled to the microcontroller and configured to decode signals received from the microcontroller; and an augmented reality image processor coupled to the camera and configured to combine a virtual object with the image captured by the camera to create a virtual-real image and transfer the virtual-real image to the head-mounted display.

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: 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.