61results about How to "Suppress image noise" patented technology

A platform Smart Scalpel system using rapid real-time feedback for effecting laser treatment. The platform system includes an imaging system for rapid real-time detection of tissue characteristics, a processing system for processing the detected characteristics, and a treatment system for effecting treatment in accordance with results of the processing. The platform system provides for preprogramming and real-time inputting conditions and parameters for diagnosis using the imaging system and / or treatment using the treatment system.

A platform Smart Scalpel system using rapid real-time feedback for effecting laser treatment. The platform system includes an imaging system for rapid real-time detection of tissue characteristics, a processing system for processing the detected characteristics, and a treatment system for effecting treatment in accordance with results of the processing. The platform system provides for preprogramming and real-time inputting conditions and parameters for diagnosis using the imaging system and / or treatment using the treatment system.

In a CMOS image sensor, current leakage after a series of noise removing operations has been completed is suppressed in a read operation for each horizontal line, thereby suppressing image noise occurring on the output display screen of the image sensor. There are provided signal storage regions for storing the signals read from the unit cells in the same row selected in the imaging area onto vertical signal lines and horizontal select transistors for sequentially selecting and reading the signals stored in the individual signal storage regions and transferring them to read horizontal signal lines. At least in the period during which the signals are read from the signal storage regions, one of the drain and source of the transistor electrically connected to the signal path between the vertical signal line and horizontal signal line is biased in the reverse direction with respect to the substrate region. Two adjacent ones of the horizontal select transistors form a pair. The horizontal select transistors in each pair share one of the source / drain regions so as to be connected to the horizontal signal line in common, and the others of the source / drain regions are connected to the vertical signal line individually.

The invention discloses a vehicle driving state evaluating method based on road-switching behavior detection, comprising the steps of: carrying out video acquisition and real-time processing on front road conditions by using a camera so as to achieve purposes of monitoring dangerous driving behaviors of road-switching, long-time line-pressing driving and the like of a vehicle and immediately warn, i.e. arranging a camera facing the front direction inside the vehicle to obtain front road condition information; detecting and tracking a lane line; judging the current position state of the vehicle, if the vehicle is in a line-pressing state, carrying out state tracking to judge whether the vehicle is subjected to lane-switching operation or not; if the vehicle is subjected to the lane-switching operation, judging the behavior danger level of the vehicle according to the lane-switching times within a recent period of time; and if the total time in the line-pressing state within the recent period of time is m percent, making an alarm of the long-time line-pressing driving. For the vehicle active safe driving, by adopting a computer monocular vision and image processing technology, the invention has characteristics of simple system configuration, low cost, good real-time and capability of being applied in various climatic environments in the daytime and at night.

The present invention relates to a driving method and apparatus of a plasma display panel. The driving method including the steps of: checking whether or not a first input grayscale data can be expressed through a certain pixel on the panel; in case the first grayscale data cannot be expressed, outputting a second grayscale data adjacent to the first grayscale data; and respectively multiplying erroneous data corresponding to a difference between the first grayscale data and the second grayscale data with preset coefficient values to diffuse the multiplied result to a plurality of pixels adjacent to the pixel, wherein before the erroneous data are respectively multiplied with the preset coefficient values, a random value is multiplied to at least one coefficient value among the plurality of coefficient values.