摘要:
An auto-exposure control method includes: creating an exposure table and an analog gain table including an exposure time and an analog gain of an image sensor set according to an index, respectively; calculating an average luminance value of an image frame obtained by the image sensor; checking whether or not the average luminance value is within a pre-set range including a prescribed final target value; if the average luminance value is not within the pre-set range, determining a shift step from indexes which have been applied to a current image frame according to the difference between the average luminance value and the final target value in order to determine indexes of the exposure table and the analog gain table to be applied to a next image frame; and repeatedly performing of reading an exposure time and an analog gain corresponding to the indexes shifted by the shift step determined from the indexes applied to the current image frame, from the exposure table and the analog gain table, applying the same to the image sensor, obtaining a next image frame, and calculating an average luminance value.
摘要:
An auto-exposure control method includes: creating an exposure table and an analog gain table including an exposure time and an analog gain of an image sensor set according to an index, respectively; calculating an average luminance value of an image frame obtained by the image sensor; checking whether or not the average luminance value is within a pre-set range including a prescribed final target value; if the average luminance value is not within the pre-set range, determining a shift step from indexes which have been applied to a current image frame according to the difference between the average luminance value and the final target value in order to determine indexes of the exposure table and the analog gain table to be applied to a next image frame; and repeatedly performing of reading an exposure time and an analog gain corresponding to the indexes shifted by the shift step determined from the indexes applied to the current image frame, from the exposure table and the analog gain table, applying the same to the image sensor, obtaining a next image frame, and calculating an average luminance value.
摘要:
Disclosed herein is an ultrasonic diagnostic apparatus and ultrasonic image processing method. The ultrasonic diagnostic apparatus includes an ultrasonic transmission unit; An ultrasonic probe emits; An ultrasonic reception unit; An image processing unit; A sound velocity determination unit; and A control unit. Accordingly, there is an advantage in that the actual sound velocity of a reflected wave is estimated, so that high-quality ultrasonic images can be provided, and the time required for the estimation of a sound velocity can be reduced.
摘要:
A histogram stretching apparatus and a histogram stretching method are disclosed to enhance image contrast by stretching a histogram of an input image within a range of a preset maximum expansion level and a preset minimum expansion level. The histogram stretching apparatus performs proper stretching suitable for a characteristic of the input image in due consideration of a saturation portion and a distribution range of a histogram of the input image. The histogram stretching apparatus can improve stretching effects by removing the saturated portion of the input image, and can prevent image distortion even for a monochromatic image. The histogram apparatus can improve histogram stretching effects by adjusting entire image levels of an image having a histogram frequency distribution skewed to a dark or bright side before a stretching operation.
摘要:
Disclosed herein is an ultrasonic diagnostic apparatus and ultrasonic image processing method. The ultrasonic diagnostic apparatus includes an ultrasonic transmission unit; An ultrasonic probe emits; An ultrasonic reception unit; An image processing unit; A sound velocity determination unit; and A control unit. Accordingly, there is an advantage in that the actual sound velocity of a reflected wave is estimated, so that high-quality ultrasonic images can be provided, and the time required for the estimation of a sound velocity can be reduced.
摘要:
A histogram stretching apparatus and a histogram stretching method are disclosed to enhance image contrast by stretching a histogram of an input image within a range of a preset maximum expansion level and a preset minimum expansion level. The histogram stretching apparatus performs proper stretching suitable for a characteristic of the input image in due consideration of a saturation portion and a distribution range of a histogram of the input image. The histogram stretching apparatus can improve stretching effects by removing the saturated portion of the input image, and can prevent image distortion even for a monochromatic image. The histogram apparatus can improve histogram stretching effects by adjusting entire image levels of an image having a histogram frequency distribution skewed to a dark or bright side before a stretching operation.
摘要:
An auto white balance method includes converting a color space of an input image from an RGB color space into the Commission International de I'Eclairage (CIE) L*a*b* color space, determining at least a portion of pixels of the input image, assumed that a reference white color is changed, in a range of a predetermined L*a*b* value as pixels to be used for estimating the reference white color, determining averages of an L* value, an a* value, a b* value of the determined pixels to be used for estimating the reference white color as a reference white color estimation value, and calculating a color gain to move the reference white color estimation value to a target value for a predetermined white balance.
摘要翻译:自动白平衡方法包括将来自RGB颜色空间的输入图像的颜色空间转换为国际照相机(CIE)L * a * b *颜色空间,确定输入图像的至少一部分像素 假设在作为用于估计参考白色的像素的预定L * a * b *值的范围内改变参考白色,确定L *值,a *值,ab *的平均值, 用于估计参考白色的确定像素的值作为参考白色估计值,以及计算颜色增益以将参考白色颜色估计值移动到预定白平衡的目标值。
摘要:
A method and apparatus for removing noise in a dark area of an image are provided. An edge magnitude in an N×N window image including a plurality of pixels is calculated. It is determined whether an edge area is present in the window image on the basis of the edge magnitude. A mean value of brightness of the window image is calculated when the edge area is not present. It is determined whether the window image corresponds to a bright area or a dark area on the basis of the mean value. The window image is determined as the bright area when the mean value is higher than a preset brightness reference value, and low-pass filtering is performed on the window image. The window image is determined as the dark area when the mean value does not exceed the reference value, and minimum filtering is performed on the window image.
摘要:
There are provided an apparatus and a method for estimating edge areas of pixels in a digital image to thereby prevent an edge sharpening algorithm from being applied to non-edge area of the digital image. Therefore, the apparatus can accurately determine whether each pixel is in an edge area or in a non-edge area, by generating a binary mask obtained by using a luminance difference average between each pixel and each of neighboring pixels in the digital image. Moreover, the determination of an edge-area or a non-edge area may be applied to various digital images, by adjusting a level of edge-area determination.
摘要:
A color interpolation apparatus includes: a threshold value determining unit that calculates a luminance value of each of a plurality of areas set based on each pixel of a bayer pattern image generated by an image sensor, and determines edge determining threshold values used for determining each edge of the set areas; an edge information calculating unit that calculates pixel value variations in multiple directions of horizontal, vertical, diagonal, and central directions of the corresponding set areas by using pixel values of pixels included in each set area, and calculates edge information regarding each set area by using the calculated multi-directional pixel value variations; an area determining unit that determines a type of an edge present in each set area by using the edge determining threshold values deterred by the threshold value determining unit and the edge information calculated by the edge information calculating unit; and a color interpolation unit that applies a color interpolation filter previously set according to the edge types to a corresponding set area according to the edge types determined for each region set by the area determining unit.