Abstract: Systems and methods are provided that facilitate grey level magnification to improve details and contrast for a dark scene of video on a digital display system. Preferably implemented over a limited pixel level range, the video enhancement process counts the number of pixels corresponding to each level within the range in a frame and then, based on the percent level distribution of the pixels, calculates the stack of percentage distribution. From the stack of percentage distribution, a transformation process is performed to reassign the pixel values over a dark level range and to expand the distribution of the pixels. The result of transformation enhances the details and contrast of the dark area significantly without affecting the bright scene. By only applying the algorithm to dark scenes, computation loads are reduced compared with some of the full picture processing methods. Lower computational loads are important to reduce motion artifacts in high speed video applications.

Abstract: Systems and methods are provided that facilitate grey level magnification to improve details and contrast for a dark scene of video on a digital display system. Preferably implemented over a limited pixel level range, the video enhancement process counts the number of pixels corresponding to each level within the range in a frame and then, based on the percent level distribution of the pixels, calculates the stack of percentage distribution. From the stack of percentage distribution, a transformation process is performed to reassign the pixel values over a dark level range and to expand the distribution of the pixels. The result of transformation enhances the details and contrast of the dark area significantly without affecting the bright scene. By only applying the algorithm to dark scenes, computation loads are reduced compared with some of the full picture processing methods. Lower computational loads are important to reduce motion artifacts in high speed video applications.

Abstract: Systems and methods for three dimensional (3D) video compression that reduce the transmission data rate of a 3D image pair to within the transmission data rate of a conventional 2D video image. The 3D video compression systems and methods described herein utilize the characteristics of the video capture systems and the Human Vision System (HVS) and reduce the redundancy of background images while maintaining the 3D objects of the 3D video with high fidelity.

Abstract: Systems and methods are provided that facilitate grey level magnification to improve details and contrast for a dark scene of video on a digital display system. Preferably implemented over a limited pixel level range, the video enhancement process counts the number of pixels corresponding to each level within the range in a frame and then, based on the percent level distribution of the pixels, calculates the stack of percentage distribution. From the stack of percentage distribution, a transformation process is performed to reassign the pixel values over a dark level range and to expand the distribution of the pixels. The result of transformation enhances the details and contrast of the dark area significantly without affecting the bright scene. By only applying the algorithm to dark scenes, computation loads are reduced compared with some of the full picture processing methods. Lower computational loads are important to reduce motion artifacts in high speed video applications.

Abstract: Systems and methods are provided that facilitate detection and processing of A/V device power status in A/V networks. Preferably, a power detection system includes a current sensor coupled to the power cord of an A/V device, a current-to-voltage converter coupled to the sensor, a voltage comparator coupled to the converter, a reference voltage output circuit coupled to the comparator, and a micro-controller coupled to the comparator and the reference voltage output circuit. In operation, the current being drawn by the A/V device through its power cord is detected and converted to an input voltage, which is then compared to a device specific threshold voltage. If the input voltage is not greater than the threshold voltage, a “Power On” command is sent to the A/V device and the detection, conversion and comparison process is repeated. If the input voltage is greater than the threshold voltage, desired commands and/or instructions are sent to the A/V device.

Abstract: Systems and methods are provided that facilitate grey level magnification to improve details and contrast for a dark scene of video on a digital display system. Preferably implemented over a limited pixel level range, the video enhancement process counts the number of pixels corresponding to each level within the range in a frame and then, based on the percent level distribution of the pixels, calculates the stack of percentage distribution. From the stack of percentage distribution, a transformation process is performed to reassign the pixel values over a dark level range and to expand the distribution of the pixels. The result of transformation enhances the details and contrast of the dark area significantly without affecting the bright scene. By only applying the algorithm to dark scenes, computation loads are reduced compared with some of the full picture processing methods. Lower computational loads are important to reduce motion artifacts in high speed video applications.