Abstract: The invention relates to post-processing of a digital photo to correct perspective distortion in the photo. The correction applies a digital photo of a scene and a depth map associated with the photo and comprising, for each pixel in the photo, a depth being a distance between a part of the scene in that pixel and a position of the camera at the time of acquisition. The correction is performed locally, so that the correction of any pixel in the photo depends on the depth of that pixel. The correction can be implemented as a transformation of each pixel in the original photo into a new position in a corrected photo. Afterwards, pixel values has to be calculated for the pixels in the corrected photo using the original pixel values and their new positions.

Abstract: The invention relates to post-processing of a digital photo to correct perspective distortion in the photo. The correction applies a digital photo of a scene and a depth map associated with the photo and comprising, for each pixel in the photo, a depth being a distance between a part of the scene in that pixel and a position of the camera at the time of acquisition. The correction is performed locally, so that the correction of any pixel in the photo depends on the depth of that pixel. The correction can be implemented as a transformation of each pixel in the original photo into a new position in a corrected photo. Afterwards, pixel values has to be calculated for the pixels in the corrected photo using the original pixel values and their new positions.

Abstract: A device for detecting objects includes a vessel intended to contain the objects. A sensor is configured to capture at least one image of the vessel. A processing device is configured to process at least one captured image by detecting objects of the at least one captured image, extracting characteristics of each detected object, and generating a list of the characteristics of each detected object. A memory stores the generated list, the memory also configured to store a first reference list of object characteristics. The processing device further generates a second list of characteristics from a captured image. The characteristics of each object of the second list are compared with, respectively, the characteristics of each object of the reference list.

Abstract: This image processing method for the conversion of an image with a first number of bits per pixel, for example 16 bits per pixel, into an image with a second number of bits per pixel, for example 18 bits per pixel, includes generating additional coding bit values for the components (Ri, Gi, Bi) of each pixel starting from the component values of adjacent pixels and generating the converted signal from the additional coding bits.

Abstract: A device for detecting objects includes a vessel intended to contain the objects. A sensor is configured to capture at least one image of the vessel. A processing device is configured to process at least one captured image by detecting objects of the at least one captured image, extracting characteristics of each detected object, and generating a list of the characteristics of each detected object. A memory stores the generated list, the memory also configured to store a first reference list of object characteristics. The processing device further generates a second list of characteristics from a captured image. The characteristics of each object of the second list are compared with, respectively, the characteristics of each object of the reference list.

Abstract: Systems and methods are provided for processing different concurrent tasks by a subsystem managed by a central processor. Each tasks is comprised of successive messages including a first message, intermediate messages, and a last message. Each intermediate message comprises a subtask parameter and a link to the next message that indicates the time when the next message is to be processed. The central processor and the subsystem are connected to a storage memory and several counters associated with respective tasks. The system and method reduce task disruptions of the system.

Abstract: This image processing method for the conversion of an image with a first number of bits per pixel, for example 16 bits per pixel, into an image with a second number of bits per pixel, for example 18 bits per pixel, includes generating additional coding bit values for the components (Ri, Gi, Bi) of each pixel starting from the component values of adjacent pixels and generating the converted signal from the additional coding bits.

Abstract: Systems and methods are provided for processing different concurrent tasks by a subsystem managed by a central processor. Each tasks is comprised of successive messages including a first message, intermediate messages, and a last message. Each intermediate message comprises a subtask parameter and a link to the next message that indicates the time when the next message is to be processed. The central processor and the subsystem are connected to a storage memory and several counters associated with respective tasks. The system and method reduce task disruptions of the system.