Stiffeners in are provided in a flexible printed circuit to prevent damages to leads and traces of the flexible circuit caused by bending, folding and other stresses.
A superior Color Transient Improvement technique is adaptive to the local image features, so that more natural color edge transition improvement can be accomplished. A gain control function is provided that depends on the local image feature so that different regions of the image can be treated differently. Further, a correction signal is controlled in such a way (by the local image feature) that neither undershoot nor overshoot occurs, eliminating the need for post-processing for undershoot/overshoot removal.
A video quality adaptive coding artifact reduction system has a video quality analyzer, an artifact reducer, and a filter strength controller. The video quality analyzer employs input video quality analysis to control artifact reduction. The video quality analyzer accesses the video quality of the decoded video sequence to estimate the input video quality. The filter strength controller globally controls the filter strength of the artifact reducer based on the video quality estimate by the video quality analyzer. For low quality input video, the filter strength controller increases the artifact reduction filter strength to more efficiently reduce the artifact. For high quality input video, the filter strength controller decreases the artifact reduction filter strength to avoid blurring image detail.
Method And Apparatus For Image Stabilization Using Multiple Image Captures
A method and apparatus for image stabilization while mitigating the amplification of image noise by using a motion adaptive system employing spatial and temporal filtering of pixel signals from multiple captured frames of a scene.
Method And Apparatus For Motion Compensated Filtering Of Video Signals
A method and apparatus for filtering video data. First and second frames of the video data are stored. Motion adapted spatio-temporal filter (MASTF) pixel values of the second frame are calculated using pixel values of the first and second frames. The second frame is compared to the first frame to estimate motion vectors (MVs) for the second frame. Pixel MV error level indicators for the second frame are determined using the pixel values of the first and second frames and the MVs of pixels in the second frame. Motion compensated temporal filter (MCTF) pixel values of the second frame are calculated using the pixel values of the first and second frames and the MVs of pixels in the second frame. For each pixel in the second frame, a filtered pixel value is calculated using its MASTF and MCTF pixel values and its pixel MV error level indicator.
Method And Apparatus For Low Cost Motion Detection
Peng Lin - Pleasanton CA, US Todd Sachs - Palo Alto CA, US
Assignee:
Aptina Imaging Corporation - George Town
International Classification:
H04N 7/18
US Classification:
348143, 348149, 348155, 37524002, 37524024
Abstract:
A non-frame-based motion detection method and apparatus for imagers requires only a few line buffers and little computation. The non-frame-based, low cost motion detection method and apparatus are well suited for “system-a-chip” (SOC) imager implementations.
Systems And Methods For Noise Reduction In High Dynamic Range Imaging
This is generally directed to systems and methods for noise reduction in high dynamic range (“HDR”) imaging systems. In some embodiments, multiple images of the same scene can be captured, where each of the images is exposed for a different amount of time. An HDR image may be created by suitably combining the images. However, the signal-to-noise ratio (“SNR”) curve of the resulting HDR image can have discontinuities in sections of the SNR curve corresponding to shifts between different exposure times. Accordingly, in some embodiments, a noise model for the HDR image can be created that takes into account these discontinuities in the SNR curve. For example, a noise model can be created that smoothes the discontinuities of the SNR curve into a continuous function. This noise model may then be used with a Bayer Filter or any other suitable noise filter to remove noise from the HDR image.
Adaptive local tone mapping may be used to convert a high dynamic range image to a low dynamic range image. Tone mapping may be performed on an on a Bayer domain image. A high dynamic range image may be filtered to produce a luminance signal. An illumination component of the luminance signal may be compressed. A reflectance component of the luminance signal may be sharpened. After the luminance signal has been processed, it may be used in producing an output image in the Bayer domain that has a lower dynamic range than the input image. The output Bayer domain image may be demosaiced to produce an RGB image. Tone-mapping may be performed with a tone-mapping processor.
Independent Consultant / Advisor
Consultant
Apple 2015 - 2016
Hardware
Qualcomm 2005 - 2015
Engineering Team Lead
Education:
Oregon State University
Doctorates, Doctor of Philosophy, Philosophy, Mechanical Engineering
San Jose State University
Master of Business Administration, Masters
Skills:
Mems Cross Functional Collaborations Supplier Partnership 3D Interconnect Die Bond Joint Reliability Doe Statistical Process Control Sip Sensor Packaging Wlcsp Bga Supplier Quality Engineering Quality Control Soft Solder Die Attach
Geo Semiconductor
Chief Technology Officer
Omnivision Technologies, Inc. Aug 2017 - Jul 2019
Vice President of Algorithm and Software
Omnivision Technologies, Inc. Nov 2016 - Aug 2017
Senior Director of Algorithm and Software Group
Mediatek Mar 2015 - Nov 2016
Director, Technology
Qualcomm Nov 2012 - Feb 2015
Senior Staff Engineer and Manager
Education:
Peking University
Bachelors, Bachelor of Science, Mathematics
Washington University In St. Louis
Doctorates, Doctor of Philosophy, Mathematics
Peking University
Master of Science, Masters, Mathematics
Skills:
Image Processing Algorithms Digital Imaging Video Processing Soc Image Sensors Computer Vision Sensors Semiconductors Digital Signal Processors High Dynamic Range Photography Camera Software Development Hdr Architecture Video Compression Imaging Pipeline Architecture and Software Development Computational Imaging R&D Group Management Camera Systems R