Abstract:
PURPOSE: An image processing method and device are provided to generate an image which color noise is excellent and maintain an edge component in general environment, low level light environment, and high sensitivity environment. CONSTITUTION: An RGB input image single is converted into a YCbCr input image signal(800). The YCbCr input image signal is divided into a luminance signal and a chrominance signal(810). After noise is eliminated from the divided luminance signal, a luminance signal existed in the noise is restored(820). Noise is eliminated from the chrominance signal(830). An image, which final noise is eliminated, is outputted by combining the luminance signal with the chrominance signal which the final noise is eliminated(840). [Reference numerals] (800) Converting an RGB input image single into a YCbCr input image signal; (810) Dividing the YCbCr input image signal into a luminance signal and a chrominance signal; (820) Eliminating noise from the divided luminance signal and restoring the luminance signal existed in the noise; (830) Eliminating the noise of the divided chrominance signal; (840) Outputting an image signal without final noise by combining the luminance signal with the chrominance signal in which the noise is eliminated; (AA) Start; (BB) End
Abstract:
A method and an apparatus for improving image quality in a composition video signal, and a method and an apparatus for removing the distortion from the composition video signal are provided to install filters before a decoding operation to perform a pre-processing operation such that noise is removed from one dimensional signal and various distortions are detected and removed. A method for improving image quality of a composition video signal comprises the steps of dividing a composition video signal into a plurality of frequency domain bands by using low pass and high pass filters(502), performing a wavelet packet filtering operation with respect to a frequency band, which includes a color signal having energy exceeding predetermined threshold energy, among the frequency domain bands(506), and performing a wiener filtering operation with respect to bands including a color signal having energy less than the threshold energy(508).
Abstract:
An image processing apparatus and an image processing method are provided to perform motion estimation exactly when a moving picture is encoded through the image processing method. An image processing apparatus includes a determination module(110), an intensity mapping module(120) and an image synthesizing module(130). The determination module(110) determines if a contrast improvement process is performed with respect to an input image. The intensity mapping module(120) creates the input image into a plurality of images having different exposure time by using intensity mapping if the execution of the contrast improvement process is determined. The image synthesizing module(130) synthesizes the created images with each other.
Abstract:
본 발명은 콘트라스트를 개선하기 위한 영상 처리 방법 및 장치에 관한 것이다. 본 발명에 따른 영상 처리 장치는 입력 영상에 콘트라스트 개선 처리를 수행할 것인지 판별하는 판별부; 콘트라스트 개선 처리를 수행하는 것으로 판별되면 입력 영상을 인텐서티 매핑을 이용하여, 서로 노출 시간이 다른 영상의 관계를 가지는 다수개의 영상으로 생성하는 인텐서티 매핑 수행부; 및 생성된 다수개의 영상을 합성하는 영상 합성부를 포함한다. 본 발명에 따르면, 종래의 콘트라스트 개선 과정에서 발생하는 컬러가 변하는 현상이나 의사 외곽 현상을 줄일 수 있다. 콘트라스트 개선, 인텐서티 매핑, 영상 합성, 카메라 응답 함수, 다이나믹 레인지
Abstract:
PURPOSE: An image processing method and device are provided to eliminate noise of an image generated in general environment, low level light environment, and high sensitivity environment. CONSTITUTION: An RGB input image signal is converted into a YCbCr input image signal(610). The YCbCr input image signal is divided into a low frequency component which a high frequency component and noise are eliminated(620). The noise of the divided high frequency component is eliminated(630). The high frequency component which the divided low frequency component and the noise are eliminated is combined(640). An input image comprises a luminance component and a chrominance component. [Reference numerals] (610) Converting an RGB input image signal into a YCbCr input image signal; (620) Dividing the YCbCr input image signal into a high frequency component and a low frequency component in which noise is eliminated; (630) Eliminating the noise of the divided high frequency component; (640) Combining the divided low frequency component and the high frequency without noise; (AA) Start; (BB) End
Abstract:
PURPOSE: An image processing method and an image processing device are provided to obtain an image with corrected lightness. CONSTITUTION: A first image extracting unit(123) uses an edge-preserving smoothing filter in a radiance map. The first image extracting unit extracts an image whose edge part is preserved or flat part is smoothed. A second image extracting unit(125) applies a correction curve to a first image. The second image extracting unit extracts a second image with a dynamic range that a user visually recognizes. A display image extracting unit(127) adjusts the hue value and chroma values of the second image. The display image extracting unit extracts an image with corrected image.