A set-top box with enhanced content and system and method for use of the same are disclosed. In one embodiment, a wireless transceiver is located within a housing, which also interconnectively includes a television input, television output, a processor, and memory. The set-top box may establish a pairing with a proximate wireless-enabled interactive programmable device having a display. Content, such music, for example, may be imported from the proximate wireless-enabled interactive programmable device and provided to the television. While the music is playing, the set-top box may generate and provide to the television a control signal that includes instructions to adjust the brightness of the television by dimming the television.

A set-top box with enhanced content and system and method for use of the same are disclosed. In one embodiment, a wireless transceiver is located within a housing, which also interconnectively includes a television input, television output, a processor, and memory. The set-top box may establish a pairing with a proximate wireless-enabled interactive programmable device having a display. Content, such music, for example, may be imported from the proximate wireless-enabled interactive programmable device and provided to the television. While the music is playing, the set-top box may generate and provide to the television a control signal that includes instructions to adjust the brightness of the television by dimming the television.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

The virtual ambient illuminance sensor system disclosed herein provides a method including detecting presence of an external device in vicinity of the device, wherein the external device is communicatively connected to the device, communicating with the external device to determine that the external device has an illuminance sensor, based at least in part on determining that the external device has an illuminance sensor; receiving an ambient illuminance snapshot from the external device, storing the ambient illuminance snapshot from the external device in the memory, and generating an ambient illuminance report for an operating system of the device.

The virtual ambient illuminance sensor system disclosed herein provides a method including detecting presence of an external device in vicinity of the device, wherein the external device is communicatively connected to the device, communicating with the external device to determine that the external device has an illuminance sensor, based at least in part on determining that the external device has an illuminance sensor; receiving an ambient illuminance snapshot from the external device, storing the ambient illuminance snapshot from the external device in the memory, and generating an ambient illuminance report for an operating system of the device.

An image processing apparatus includes: a dividing processing circuit configured to divide an imaging signal that is obtained by capturing an image of inside of a subject into a first base component and a detail component, the first base component corresponding to an illumination component of an object, the detail component corresponding to a reflectance component of the object; a color enhancement processing circuit configured to generate a second base component by performing a color enhancement process on the first base component, the color enhancement process being a process of increasing color gradation of a mucosa color in a predetermined color space; and a synthesizing circuit configured to synthesize the second base component and the detail component to output a synthesized signal.

An image processing apparatus includes: a dividing processing circuit configured to divide an imaging signal that is obtained by capturing an image of inside of a subject into a first base component and a detail component, the first base component corresponding to an illumination component of an object, the detail component corresponding to a reflectance component of the object; a color enhancement processing circuit configured to generate a second base component by performing a color enhancement process on the first base component, the color enhancement process being a process of increasing color gradation of a mucosa color in a predetermined color space; and a synthesizing circuit configured to synthesize the second base component and the detail component to output a synthesized signal.

The technology provides an interior camera sensing system for self-driving vehicles. The sensor system includes image sensors and infrared illuminators to see the vehicle's cabin and storage areas in all ambient lighting conditions. The system can monitor the vehicle for safety purposes, to detect the cleanliness of the cabin and storage areas, as well as to detect whether packages or other objects have been inadvertently left in the vehicle. The cameras are arranged to focus on selected regions in the vehicle cabin and the system carries out certain actions in response to information evaluated for those regions. The interior space is divided into multiple zones assigned different coverage priorities. Regardless of vehicle size or configuration, certain actions are performed according to various ride checklists and the imagery detected by the interior cameras. The checklists include pre-ride, mid-ride, and post-ride checklists.

The technology provides an interior camera sensing system for self-driving vehicles. The sensor system includes image sensors and infrared illuminators to see the vehicle's cabin and storage areas in all ambient lighting conditions. The system can monitor the vehicle for safety purposes, to detect the cleanliness of the cabin and storage areas, as well as to detect whether packages or other objects have been inadvertently left in the vehicle. The cameras are arranged to focus on selected regions in the vehicle cabin and the system carries out certain actions in response to information evaluated for those regions. The interior space is divided into multiple zones assigned different coverage priorities. Regardless of vehicle size or configuration, certain actions are performed according to various ride checklists and the imagery detected by the interior cameras. The checklists include pre-ride, mid-ride, and post-ride checklists.