Abstract: A method for denoising a video signal includes (i) generating a first low-frequency frame, including one or more first low-spatial-frequency components of a first video frame of the video, by filtering one or more first high-spatial-frequency components from the first video frame; and (ii) generating a first filtered frame by recursively filtering the first low-frequency frame. The method also includes (iii) generating a second low-frequency frame from a second video frame of the video subsequent to the first video frame, by filtering one or more second high-spatial-frequency components from the second video frame; (iv) generating a high-frequency frame from the second video frame and the second low-frequency frame; (v) recursively filtering the second low-frequency frame with the first filtered frame to yield a denoised low-frequency frame; and (vi) generating a denoised video frame by combining the denoised low-frequency frame with the high-frequency frame.

Abstract: Techniques related to detecting local change in video are discussed. Such techniques may include determining inlier and outlier keypoints for a current frame of a video sequence based on inlier keypoints from previous frames, detecting a region of local change based on outlier keypoints of the current and previous frames, and providing an indicator of local change based on the detected region of local change.

Abstract: Techniques are disclosed to adaptively control an image sensor and image signal processor (ISP), collectively known as an image pipeline, such that a minimum amount of power is consumed by an electronic device while producing images that can be accurately analyzed by a computer vision application. The techniques disclosed herein can be implemented in various electronic devices capable of capturing and processing image data, such as, for example, smart phones, wearable computers, laptops, tablets, and other mobile computing or imaging systems. In an embodiment, the techniques disclosed herein are implemented in a system-on-chip device.

Abstract: Techniques related to detecting local change in video are discussed. Such techniques may include determining inlier and outlier keypoints for a current frame of a video sequence based on inlier keypoints from previous frames, detecting a region of local change based on outlier keypoints of the current and previous frames, and providing an indicator of local change based on the detected region of local change.

Abstract: An image processing method includes: receiving image data of a Bayer format comprising red color information, green color information, and blue color information, generating image data of a modified Bayer format by combining the green color information with the red color information and combining the green color information with the blue color information while downscaling the image data of the Bayer format to a target resolution, denoising the image data of the modified Bayer format, and generating RGB image data by demosaicing the denoised image data of the modified Bayer format.

Abstract: Techniques are disclosed to adaptively control an image sensor and image signal processor (ISP), collectively known as an image pipeline, such that a minimum amount of power is consumed by an electronic device while producing images that can be accurately analyzed by a computer vision application. The techniques disclosed herein can be implemented in various electronic devices capable of capturing and processing image data, such as, for example, smart phones, wearable computers, laptops, tablets, and other mobile computing or imaging systems. In an embodiment, the techniques disclosed herein are implemented in a system-on-chip device.

Abstract: An image processing method includes: receiving image data of a Bayer format comprising red color information, green color information, and blue color information, generating image data of a modified Bayer format by combining the green color information with the red color information and combining the green color information with the blue color information while downscaling the image data of the Bayer format to a target resolution, denoising the image data of the modified Bayer format, and generating RGB image data by demosaicing the denoised image data of the modified Bayer format.

Abstract: In a method for out-of-gamut color correction of images, the image is color corrected by compressing pixel vectors having a maximal component located outside of the output color gamut to within the output color gamut while retaining a hue of the image. An electronic imaging system includes an image signal processor configured to color correct the image for display by the output device by compressing pixel vectors having a maximal component located outside of the output color gamut to within the output color gamut while retaining a hue of the image.

Abstract: A computerized system for mapping an atmospheric phenomenon in a geographic region. Multiple free-space electromagnetic communications links are previously distributed in the geographic region. The system includes an interface to monitoring mechanisms attached respectively to the free-space electromagnetic communications links. The monitoring mechanisms respectively monitor attenuation levels of the free-space electromagnetic communications links. A processor simultaneously processes the attenuation levels, and maps in the geographic region the atmospheric phenomenon. The simultaneous processing preferably applies a non-linear model which relates the attenuation levels the atmospheric phenomenon, and solves a tomographic problem based on the non-linear model and the attenuation levels. The tomographic problem is preferably solved by an interactive algorithm based on consecutive refinement and linear inversion at each iteration.

Abstract: A method of operating an image sensor apparatus is provided. In this method, first digital image data is generated based on a first exposure data signal, wherein the first exposure data signal is indicative of an exposure level of the image sensor during a first exposure period. The first digital image data is stored in a storage circuit. Second digital image data is generated based on a second exposure data signal, wherein the second exposure data signal is indicative of an exposure level of the image sensor during a second exposure period. The second exposure period is different from the first exposure period. The second digital image data associated with the image sensor is selectively stored based on a value of the first digital image data associated with the image sensor.