Abstract: Methods, systems, and devices for feature-based image autofocus are described. A device may perform an autofocus procedure that includes determining a set of features based on determining a feature region associated with an image. The device may generate a feature weight map based on the set of features and estimate a direction of a target feature in the feature region. The device may generate a direction weight map that corresponds to the feature region. The device may determine a focus position of the image based on the generated feature weight map and the estimated direction of the target feature and perform an autofocus operation on the determined focus position of the image. The device may calculate a focus value based on the feature weight map, and the focus position of the image may be based on the focus value.

Abstract: An apparatus configured for image processing comprises one or more processors configured to determine data associated with a distance between an object and the apparatus and determine a plurality of lens positions of a camera lens based on the data associated with the distance between the object and the apparatus. The one or more processors are further configured to determine, for each one of the plurality of lens positions, a respective focus value to generate a plurality of focus values. To determine, for each one of the plurality of lens positions, the respective focus value, the one or more processors are configured to determine, for each one of the plurality of lens positions, phase difference information. The one or more processors are further configured to determine a final lens position based on the plurality of focus values.

Abstract: Methods, systems, and devices for feature-based image autofocus are described. A device may perform an autofocus procedure that includes determining a set of features based on determining a feature region associated with an image. The device may generate a feature weight map based on the set of features and estimate a direction of a target feature in the feature region. The device may generate a direction weight map that corresponds to the feature region. The device may determine a focus position of the image based on the generated feature weight map and the estimated direction of the target feature and perform an autofocus operation on the determined focus position of the image. The device may calculate a focus value based on the feature weight map, and the focus position of the image may be based on the focus value.

Abstract: Techniques and systems are provided for processing image data. A first image having a first resolution can be obtained. In some aspects, the first image is generated based on a pixel binning process. A second image can be obtained having a second resolution that is greater than the first resolution. In some aspects, the second image is generated based on a remosaicing process. One or more weight maps can be generated based on characteristics determined based on pixels of the first image, pixels of the second image, or pixels of both the first image and the second image. A fused image can be generated based on the one or more weight maps that includes a first set of pixels from the first image and a second set of pixels from the second image.

Abstract: A processor generates a depth map from two images, including a high-dynamic range (HDR) image. The processor receives, from a first image sensor, one or more first images, wherein the one or more first images have a first field-of-view (FOV) and a first resolution, and receives, from a second image sensor, one or more second images, wherein the one or more second images have a second FOV and a second resolution. The processor generates a first HDR image from the one or more first images, and performs tone alignment on the one or more second images based on the first HDR image to produce a second HDR image. The processor generates a depth map using the first HDR image and the second HDR image. The processor may use the depth map to apply a bokeh effect to the first HDR image.

Abstract: An image processing device receives image data from an image frame captured by an image sensor of an image capture device. The image processing device moves a lens of the image capture device while still receiving the image data from the image frame, for instance as part of an autofocus operation. The image processing device determines multiple positions of the lens from the beginning of the movement to the end of the movement based on a lens position sensor, based on differences between the image frame and other consecutive image frames, or based on interpolation. The image processing device performs field of view compensation on the image data by cropping one or more rows of the image data based on the positions of the lens.

Abstract: Aspects of the present disclosure relate to systems and methods for compensating for camera motion during an autofocus operation. An example device may include a processor and a memory. The processor may be configured to measure a plurality of focus values. Each focus value is measured at a different focal length. The processor also may be configured to detect that a camera motion exists for the measurement of one or more of the plurality of focus values. The processor further may be configured to determine a focal length based on the plurality of measured focus values and the detected camera motion.

Abstract: Methods, systems, and devices for image processing are described. A device may detect a spotlight in an exposure of a scene based at least in part on one or more auto-exposure statistics for the exposure. The device may determine a lens position for a sensor of the device based at least in part on detecting the spotlight. The device may capture, by the sensor and based on the lens position, a pixel array representing the scene. The device may adjust image processing parameters of an automatic white balance stage or a contrast enhancement stage of an image processing pipeline based at least in part on the detected spotlight. The device may generate a color-corrected image by passing the pixel array through the image processing pipeline. The device may output the color-corrected image.

Abstract: Aspects of the present disclosure relate to systems and methods for performing autofocus. An example device may include a processor and a memory. The processor may be configured to receive a first image captured by a camera, determine a first ROI for the first image, receive a second image captured by the camera after capturing the first image, determine a second ROI for the second image, compare the first ROI and the second ROI, and delay a determination of a final focal length based on the comparison of the first ROI and the second ROI.

Abstract: Aspects of the present disclosure relate to systems and methods for compensating for camera motion during an autofocus operation. An example device may include a processor and a memory. The processor may be configured to measure a plurality of focus values. Each focus value is measured at a different focal length. The processor also may be configured to detect that a camera motion exists for the measurement of one or more of the plurality of focus values. The processor further may be configured to determine a focal length based on the plurality of measured focus values and the detected camera motion.

Abstract: A method for performing lens shading compensation is provided. The method includes: receiving at least two series of source images of different exposure settings; performing first lens shading compensation on the at least two series of source images respectively; analyzing luminance distribution of the at least two series of compensated source images; composing a series of HDR images from the at least two series of compensated source images according to the luminance distribution; performing second lens shading compensation on the series of HDR image; and performing tone mapping on the series of compensated HDR images. A system for performing lens shading compensation is also provided.

Abstract: An exposure control method and an image processing system are provided. The image processing system comprises: an image sensor module, configured to provide at least two types of source images in parallel, each type of the source images has different exposure setting; a pre-processing unit, configured to determine luminance distribution of the source images on block basis, perform a first exposure control according to the luminance distribution of the two types of source images, and generate output images according to the source images in RAW image domain, and a post-processing unit, configured to determine luminance distribution of the output images, and perform a second exposure control according to the luminance distribution of the output images in normal image domain; wherein exposure settings of the image sensor module is adjusted according to the first exposure control and the second exposure control.

Abstract: A method for performing lens shading compensation is provided. The method includes: receiving at least two series of source images of different exposure settings; performing first lens shading compensation on the at least two series of source images respectively; analyzing luminance distribution of the at least two series of compensated source images; composing a series of HDR images from the at least two series of compensated source images according to the luminance distribution; performing second lens shading compensation on the series of HDR image; and performing tone mapping on the series of compensated HDR images. A system for performing lens shading compensation is also provided.

Abstract: An exposure control method and an image processing system are provided. The image processing system comprises: an image sensor module, configured to provide at least two types of source images in parallel, each type of the source images has different exposure setting; a pre-processing unit, configured to determine luminance distribution of the source images on block basis, perform a first exposure control according to the luminance distribution of the two types of source images, and generate output images according to the source images in RAW image domain, and a post-processing unit, configured to determine luminance distribution of the output images, and perform a second exposure control according to the luminance distribution of the output images in normal image domain; wherein exposure settings of the image sensor module is adjusted according to the first exposure control and the second exposure control.

Abstract: A method for determining a type of an optical disk includes following steps. A laser beam of a first type is focused on a disk to generate a first optical reflection signal. A first spherical aberration estimate is generated according to the degree of dispersion and strength of the first optical reflection signal. A laser beam of a second type is focused on the disk to generate a second optical reflection signal. A second spherical aberration estimate is generated according to the degree of dispersion and strength of the second optical reflection signal. The type of the disk is determined based on the first spherical aberration estimate and the second spherical aberration estimate.

Abstract: The present invention provides a method and an apparatus for determining the number of data layers in an optical disc. Firstly, the objective lens of the optical pickup head is controlled so that it moves toward the optical disc. At the same time, a generated SBAD signal is recorded. The number of wave peaks in the SBAD signal is then detected and the number of the data layers in an optical disc is determined according to the detected number of wave peaks in the SBAD signal.

Abstract: The present invention discloses a method and an apparatus for compensating astigmatism in an optical storage system. Firstly, the optical storage system focuses on an optical disc and proceeds track seeking. While track seeking, the astigmatism compensator continues adjusting and an astigmatism index signal is also measured. At last, an optimal astigmatism compensated value of the astigmatism compensator is acquired based on the measured result of the astigmatism index signal.

Abstract: A method for determining an optimal combination of focus bias and spherical aberration compensating value (SA value) in an optical disc drive is provided. Firstly, a first focus bias is set, the SA values are adjusted and the corresponding tracking error signal values are measured. Second-order-approximation is performed to obtain a first maximum value of tracking error signal. Secondly, a second focus bias is set, the SA values are adjusted and the corresponding tracking error signal values are measured. Second-order-approximation is performed to obtain a second maximum value of tracking error signal. Thirdly, a third focus bias is set, the SA values are adjusted and the corresponding tracking error signal values are measured. Second-order-approximation is performed to obtain a third maximum value of the tracking error signal. The three maximum values are compared to obtain the optimal combination of focus bias and SA compensating value in the optical disc drive.

Abstract: A move-sled-home device is used in an optical disc drive. The move-sled-home device includes a processing unit, a motor actuator, a sled, a sled motor, and a current-detecting unit. The processing unit outputs a control signal. The motor actuator generates a driving voltage according to the control signal. The sled motor generates a driving current according to the driving voltage to move the sled. The current-detecting unit is used for receiving and converting the driving current into an indicating signal, and issuing the indicating signal to the processing unit. During a move-sled-home action, the processing unit realizes a magnitude of the driving current according to the indicating signal, thereby determining whether the move-sled-home action is finished.

Abstract: An apparatus for judging an optical disc includes a gain controller, an amplitude detecting unit and an amplitude comparing unit. The gain controller is used for receiving a radio frequency signal from an optical pickup head; and processing the radio frequency signal into an amplified radio frequency signal with a target amplitude according to an amplitude feedback signal. The amplitude detecting unit is used for receiving the amplified radio frequency signal, generating the amplitude feedback signal to the gain controller, and outputting a top envelope amplitude according to an top envelope signal of the amplified radio frequency signal. The amplitude comparing unit is used for comparing the top envelope amplitude with a threshold value to generate a resulting signal, and judging whether the laser beams emitted from the optical pickup head are irradiated on a blank area or a data-recorded area according to the resulting signal.