Nextchip Co., Ltd.

Seong-Won Lee

Do-Gyun Kim

Ji-Hoon Jang

Hyo-Ju Kim

Yun-Sung Wang

An apparatus for recovering a chrominance signal from a sequential color with memory (SECAM) composite video baseband signal (CVBS), and more particularly, to a frequency demodulator and method of recovering a SECAM chrominance signal which can utilize both a real number portion and an imaginary number portion, and generate a frequency-demodulated chrominance signal using an arctangent approximation, and thereby can simplify a circuit configuration of a frequency demodulator to perform a fixed-point calculation is provided. A frequency demodulator for recovering a chrominance signal, the frequency demodulator comprises a phase differentiator generating a phase difference component between neighboring samples from an input signal and a phase estimator calculating a phase difference between the neighboring samples by using an arctangent approximation, based on the generated phase difference component, wherein the frequency demodulator generates a frequency-demodulated chrominance signal and the phase difference corresponds to the chrominance signal.

Frequency demodulator for recovering SECAM chrominance signal and method thereof

Disclosed are an image processing method capable of effectively removing noise contained in an image photographed in a low light environment by using statistical information, and a system thereof. There is provided an image processing method for an image consecutively inputted per frame unit, the method comprising: a step of segmenting the image into unit areas comprising a predetermined number of pixels; a first step of dividing each unit area into a low light region or a high light region by using the brightness of image data contained in said each unit area; a second step of outputting statistical information from image data contained in at least one unit area divided into the low light region, and detecting and removing Poisson and photon counting noise on the basis of the statistical information, the statistical information being the mean of the unit area; a third step of detecting a motion pixel from the image data; and a fourth step of detecting and removing false color noise from the image data on the basis of the detected motion pixel and the statistical information.

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Seongnam-si, South Korea

Seong-Won Lee