Stmicroelectronics S.r.l.

Stmicroelectronics Gmbh

Davide Giacalone

Arcangelo Ranieri Bruna

Angelo Bosco

Rosetta Rizzo

Sankalp Dayal

In an embodiment, a device may include a first sensor configured to generate first sensor data during a first time period and a second time period; a second sensor configured to be disabled during the first time period, the second sensor further being configured to generate second sensor data during the second time period; and a processor configured to determine a characteristic of the first sensor data during the first time period. The device may further include a classifying circuit configured to determine, during the first time period, whether the device has changed state based on the characteristic of the first sensor data, the classifying circuit further being configured to cause the second sensor to be enabled in response to a change in a state of the device.

Device and method of characterizing motion

An embodiment relates to a method for the detection of texture of a digital image, including providing a raw data image of the image by means of Bayer image sensors, determining noise in at least a region of the raw data image and determining the texture based on the determined noise without using a high pass or low pass filter.

Texture detection in image processing

An embodiment relates to a method and an image processor for reducing chroma noise in digital-image data. An embodiment performs noise reduction in the color-filter-array domain prior to demosaicing in order to prevent spreading of noise in subsequent stages of the image-processing pipeline. Peaks in the CFA data are attenuated in order to prevent any undesired color cast. Specifically, any correction to a certain pixel is made in accordance with the amplitude of digital gains applied, as well as with the local luminance and the contribution of the current color channel to the local luminance. In this manner, corrections are restricted to image areas that are subject to high digital amplification, that are comparatively dark, and that are not dominated by the current color channel.

Image chroma noise reduction in the bayer domain

Image defects in digital images are easily detectable by the human eye but may be difficult to detect in a computer-implemented fashion. In an embodiment of a digital-image-acquisition device, defects are removed on the CFA domain before color interpolation takes place. In order to allow cancellation of couplets of defective pixels, a two pass embodiment is presented. Such embodiment presents methods and systems that can remove both couplets and singlets without damaging the image. The system includes a ring corrector that detects a defect in the ring of pixels that surround a central pixel, a singlet corrector that detects and corrects the central pixel and removes a couplet if the ring corrector is activated, whereas if the ring corrector is switched off, the singlet corrector only removes singlets, and a peak-and-valley detector that avoids overcorrection by avoiding correcting signal peaks or valleys in case of spikes or drops in signal.

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Gela, Italy

Davide Giacalone