CN101316320A - Image processing method for image processing system and related image processing device - Google Patents

Image processing method for image processing system and related image processing device Download PDF

Info

Publication number
CN101316320A
CN101316320A CN 200710106385 CN200710106385A CN101316320A CN 101316320 A CN101316320 A CN 101316320A CN 200710106385 CN200710106385 CN 200710106385 CN 200710106385 A CN200710106385 A CN 200710106385A CN 101316320 A CN101316320 A CN 101316320A
Authority
CN
China
Prior art keywords
image data
value
sharpened
sharpened image
image processing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN 200710106385
Other languages
Chinese (zh)
Other versions
CN101316320B (en
Inventor
林腾毅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Novatek Microelectronics Corp
Original Assignee
Novatek Microelectronics Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Novatek Microelectronics Corp filed Critical Novatek Microelectronics Corp
Priority to CN200710106385XA priority Critical patent/CN101316320B/en
Publication of CN101316320A publication Critical patent/CN101316320A/en
Application granted granted Critical
Publication of CN101316320B publication Critical patent/CN101316320B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)

Abstract

An image processing method for an image processing system for improving the quality of an image subjected to sharpness processing comprises receiving a plurality of original image data; sharpening the plurality of original image data to generate a plurality of sharpened image data; adjusting the plurality of sharpened image data according to the plurality of original image data; and outputting the adjusted plurality of sharpened image data.

Description

用于图像处理系统的图像处理方法及其相关图像处理装置 Image processing method for image processing system and related image processing device

技术领域 technical field

本发明涉及一种于用于一图像处理系统的图像处理方法及其相关图像处理装置,尤其涉及一种可有效抑制调升过度及背景噪声的图像处理方法及其相关图像处理装置。The present invention relates to an image processing method used in an image processing system and its related image processing device, in particular to an image processing method and its related image processing device which can effectively suppress excessive upscaling and background noise.

背景技术 Background technique

在已知数字图像处理系统中,图像处理器可能会对数字图像信号进行隔行至逐行扫描转换(针对交错类型的信号而言)、图像缩放处理、位移和边缘检测与插补以及色彩空间转换等等。这些图像处理中有某些运作需使用低通内插滤波器,会造成图像锐利度降低。例如,在NTSC规格的电视广播信号显示系统中,以交错的隔行扫描方式来显示图像数据。隔行扫描方式因应传统阴极射线管(CRT)的运作特性而产生,用以于每一画面的显示过程中扫描显示屏两次,工作原理是将一图像画面分割成两个图场,其中一图场由奇数扫描线组成,而另一图场则由偶数扫描线组成。至于隔行扫描到逐行扫描的转换,由于其转换过程中会利用到低通滤波处理,故会降低逐行扫描后的图像锐利度。此外,图像缩放处理也会造成图像锐利度降低的情形。图像缩放处理放大或缩小一特定格式的图像,以使其符合另一种格式。例如,画面长宽比为4∶3的标准NTSC图像必须进行水平及垂直缩放处理,才能显示在长宽比为16∶9的显示屏上。亦即,电视接收到的信号必须经过缩放处理,以产生符合所欲显示的格式的图像数据。此一运作过程同样包含有低通内插的处理程序,故亦会导致缩放后的图像锐利度降低的问题。In known digital image processing systems, the image processor may perform interlaced to progressive scan conversion (for interlaced type signals), image scaling processing, displacement and edge detection and interpolation, and color space conversion of the digital image signal etc. Some of these image processing operations require the use of low-pass interpolation filters, resulting in reduced image sharpness. For example, in a television broadcast signal display system of the NTSC standard, image data is displayed in an interlaced scanning method. The interlaced scanning method is produced in response to the operating characteristics of the traditional cathode ray tube (CRT). It is used to scan the display screen twice during the display of each picture. The working principle is to divide an image picture into two fields, one of which is One field consists of odd scan lines, while the other field consists of even scan lines. As for the conversion from interlaced scanning to progressive scanning, since low-pass filtering is used in the conversion process, the sharpness of the image after progressive scanning will be reduced. In addition, the image scaling process will also result in a reduction in image sharpness. Image scaling is the process of enlarging or reducing an image in one format to fit another format. For example, a standard NTSC image with an aspect ratio of 4:3 must be scaled horizontally and vertically to be displayed on a display with an aspect ratio of 16:9. That is, the signal received by the TV must be scaled to produce image data in the format to be displayed. This operation process also includes a low-pass interpolation process, which also causes the problem of reduced sharpness of the scaled image.

一般而言,任何包含有低通内插滤波特性的图像处理过程,都会导致部分图像细节的损失。因此,已知技术通常会在图像数据处理过程的某些环节当中,增加控制图像锐利度的步骤。常见的方式是利用峰化(Peaking)处理来使图像中的边缘部位更加锐利化,以加强图像边缘的视觉效果。然而,已知的峰化处理程序却往往会导致图像的边缘部位有调升过度(overshoot)的不良情形发生,因而降低了图像的画质。Generally speaking, any image processing process that includes low-pass interpolation filtering will result in the loss of some image details. Therefore, the known technology usually adds a step of controlling the sharpness of the image in some links of the image data processing process. A common method is to use peaking (Peaking) processing to sharpen the edge parts in the image, so as to enhance the visual effect of the edge of the image. However, the known peaking process often results in an undesired situation of overshooting at the edge of the image, thus degrading the quality of the image.

请参考图1,图1为已知锐利化控制单元10的方块图。锐利化控制单元10包含有一高通滤波器100、一核化(Coring)运算单元102、一乘法器104及一加法器106。高通滤波器100会对输入图像信号进行高通滤波处理。接着,核化运算单元102对滤波后的图像信号进行非线性核化函数运算,其所对应的输入及输出关系如图2所示。由图2可知,只有在噪声水平(以阈值Th表示)两旁的数据才会被用到,以消除数据中的噪声,并将低于阈值的数据降至0。接着,乘法器104将核化运算单元102的运算结果乘上一缩放因子(Scaling Factor,又称为增益)SF以增加或降低信号量值,然后再与原始的图像进行合并。Please refer to FIG. 1 , which is a block diagram of a known sharpening control unit 10 . The sharpening control unit 10 includes a high-pass filter 100 , a coring operation unit 102 , a multiplier 104 and an adder 106 . The high-pass filter 100 performs high-pass filtering on the input image signal. Next, the coring calculation unit 102 performs a nonlinear coring function calculation on the filtered image signal, and its corresponding input and output relationship is shown in FIG. 2 . It can be seen from Figure 2 that only the data on both sides of the noise level (represented by the threshold Th) will be used to eliminate the noise in the data and reduce the data below the threshold to 0. Next, the multiplier 104 multiplies the operation result of the coring operation unit 102 by a scaling factor (Scaling Factor, also called a gain) SF to increase or decrease the signal value, and then combine it with the original image.

在锐利化控制单元10,高频的信息会通过高通滤波器100,故前述的锐利度调整程序会加强图像中较高频的边缘,亦即,仅有点状物和对角线的部分会有加强的效果。换句话说,锐利化控制单元10可大幅增强硬边缘(HardEdge)的锐利度,但对于软边缘(Soft Edge)的锐利度增强效果则非常有限。此处所称的软边缘指视觉上并非特别显著的边缘,如图像中较为模糊的边缘或是由些微亮度变化所形成的图像边缘。硬边缘则指在视觉上非常明显而清晰可见的边缘,如强烈对比或剧烈亮度变化所形成的图像边缘。图1的锐利化控制单元100会利用乘法器104调整图像信号的增益。由于高通滤波器100滤波后的图像信号中与软边缘相对应的成分是非常小的值,即使调整了增益,软边缘部分的图像锐利度亦仅能获得相当有限的增强效果。相反地,滤波后的图像信号中与硬边缘相对应的成分是非常大的值,在调整了增益之后,硬边缘部分的图像锐利度能获得非常显著的增强效果。但这不是理想的情况,因为硬边缘在定义上原本就是原始图像中非常清晰可见的边缘,故实际上应该加强的部分是软边缘的部分。然而,倘若将缩放因子SF提升到足以有效加强软边缘的水平,则会导致硬边缘部分的图像产生调升过度(Overshoot)且背景噪声亦会被放大。因此,为了避免造成图像硬边缘部分产生调升过度的不良结果,已知的锐利化控制单元100仅能提供软边缘相当有限的锐利度增强效果。In the sharpening control unit 10, the high-frequency information will pass through the high-pass filter 100, so the aforementioned sharpness adjustment procedure will strengthen the higher-frequency edges in the image, that is, only the parts of dots and diagonal lines will have Enhanced effect. In other words, the sharpening control unit 10 can greatly enhance the sharpness of hard edges (Hard Edge), but has a very limited effect on the sharpness enhancement of soft edges (Soft Edge). The soft edge referred to here refers to an edge that is not particularly noticeable visually, such as a blurred edge in an image or an image edge formed by slight brightness changes. Hard edges refer to visually very obvious and clearly visible edges, such as image edges formed by strong contrast or drastic brightness changes. The sharpening control unit 100 in FIG. 1 uses the multiplier 104 to adjust the gain of the image signal. Since the component corresponding to the soft edge in the image signal filtered by the high-pass filter 100 has a very small value, even if the gain is adjusted, the image sharpness of the soft edge part can only be enhanced to a limited extent. On the contrary, the component corresponding to the hard edge in the filtered image signal has a very large value, and after the gain is adjusted, the image sharpness of the hard edge part can be significantly enhanced. But this is not an ideal situation, because the hard edge is by definition the edge that is very clearly visible in the original image, so the part that should be emphasized is actually the part of the soft edge. However, if the scaling factor SF is increased to a level sufficient to effectively enhance the soft edges, it will result in overshooting of the hard edge portion of the image and background noise will also be amplified. Therefore, in order to avoid the undesired result of excessive upscaling of the hard edge portion of the image, the known sharpening control unit 100 can only provide a relatively limited sharpness enhancement effect on the soft edge.

发明内容 Contents of the invention

因此,本发明的主要目的即在于提供用于一图像处理系统的图像处理方法及其相关图像处理装置。Therefore, the main objective of the present invention is to provide an image processing method for an image processing system and a related image processing device.

本发明披露一种用于一图像处理系统的图像处理方法,用以提升经锐利化处理后的图像的质量,包含有接收多个原始图像数据;对该多个原始图像数据进行锐利化处理,以产生多个锐利化图像数据;根据该多个原始图像数据,调整该多个锐利化图像数据;以及输出调整后的该多个锐利化图像数据。The present invention discloses an image processing method used in an image processing system to improve the quality of a sharpened image, including receiving a plurality of original image data; performing sharpening processing on the plurality of original image data, to generate a plurality of sharpened image data; adjust the plurality of sharpened image data according to the plurality of original image data; and output the adjusted plurality of sharpened image data.

本发明还披露一种用于一图像处理系统的图像处理装置,用以提升经锐利化处理后的图像的质量,包含有一接收端,用来接收多个原始图像数据;一锐利化控制单元,耦接于该接收端,用来对该多个原始图像数据进行锐利化处理,以产生多个锐利化图像数据;一锐利化补偿单元,耦接于该接收端与该锐利化控制单元,用来根据该多个原始图像数据,调整该多个锐利化图像数据;以及一输出端,耦接于该锐利化补偿单元,用来输出调整后的该多个锐利化图像数据。The present invention also discloses an image processing device used in an image processing system to improve the quality of the sharpened image, including a receiving end for receiving a plurality of original image data; a sharpening control unit, coupled to the receiving end, for sharpening the plurality of original image data to generate a plurality of sharpened image data; a sharpening compensation unit, coupled to the receiving end and the sharpening control unit, for adjusting the plurality of sharpened image data according to the plurality of original image data; and an output terminal coupled to the sharpening compensation unit for outputting the adjusted sharpened image data.

附图说明 Description of drawings

图1为已知锐利化控制单元的方块图。FIG. 1 is a block diagram of a known sharpening control unit.

图2为非线性核化函数运算所对应的输入及输出关系示意图。FIG. 2 is a schematic diagram of the relationship between input and output corresponding to the operation of the nonlinear kernelization function.

图3为本发明实施例用于一图像处理系统的图像处理流程的示意图。FIG. 3 is a schematic diagram of an image processing flow for an image processing system according to an embodiment of the present invention.

图4为本发明实施例用于一图像处理系统的图像处理装置的示意图。FIG. 4 is a schematic diagram of an image processing device used in an image processing system according to an embodiment of the present invention.

附图符号说明Description of reference symbols

10                             锐利化控制单元10 Sharpening control unit

100                            高通滤波器100 High Pass Filter

102                            核化运算单元102 Coreized operation unit

104                            乘法器104 Multiplier

106                            加法器106 Adder

30                             图像处理流程30 Image processing flow

300、302、304、306、308、310   步骤300, 302, 304, 306, 308, 310 steps

40                             图像处理装置40 Image processing device

400                            接收端400 Receiver

402                            锐利化控制单元402 Sharpening control unit

404                            锐利化补偿单元404 Sharpening compensation unit

406                            输出端406 output terminal

IN(m)~IN(n)                    原始图像数据IN(m)~IN(n) Raw image data

IN_S(m)~IN_S(n)                锐利化图像数据IN_S(m)~IN_S(n) Sharpen image data

OUT                             调整结果OUT Adjustment result

具体实施方式 Detailed ways

请参考图3,图3为本发明实施例用于一图像处理系统的图像处理流程30的示意图。图像处理流程30可提升经锐利化处理后的图像质量,其包含以下步骤:Please refer to FIG. 3 , which is a schematic diagram of an image processing flow 30 for an image processing system according to an embodiment of the present invention. The image processing flow 30 can improve the quality of the sharpened image, which includes the following steps:

步骤300:开始。Step 300: start.

步骤302:接收多个原始图像数据。Step 302: Receive a plurality of original image data.

步骤304:对该多个原始图像数据进行锐利化处理,以产生多个锐利化图像数据。Step 304: Perform sharpening processing on the plurality of original image data to generate a plurality of sharpened image data.

步骤306:根据该多个原始图像数据,调整该多个锐利化图像数据。Step 306: Adjust the sharpened image data according to the original image data.

步骤308:输出调整后的该多个锐利化图像数据。Step 308: Output the adjusted sharpened image data.

步骤310:结束。Step 310: end.

根据图像处理流程30,本发明于原始图像数据经锐利化处理后,根据原始图像数据的值,调整锐利化图像数据。换句话说,当原始图像数据经锐化处理后,本发明会根据原始图像数据,调整锐利化后的图像数据,以避免调升过度并防止背景噪声被放大。According to the image processing flow 30 , the present invention adjusts the sharpened image data according to the value of the original image data after the original image data is sharpened. In other words, when the original image data is sharpened, the present invention adjusts the sharpened image data according to the original image data to avoid excessive upscaling and prevent background noise from being amplified.

在图像处理流程30中,步骤304对原始图像数据进行锐利化处理,其可以任何锐利化处理流程实现,如先将原始图像数据进行高通滤波运算及核化运算后,再将核化运算结果乘以一增益值并与原始图像数据累加,以产生锐利化图像数据。另外,较佳地,步骤306根据原始图像数据的最大值与最小值,调整经锐利化处理后的图像数据。举例来说,若一锐利化图像数据的值大于多个原始图像数据的最大值时,可将该锐利化图像数据的值设为该多个原始图像数据的最大值或将该锐利化图像数据的值除以一默认值,以衰减该锐利化图像数据的值。相反地,若一锐利化图像数据的值小于多个原始图像数据的最小值时,则可将该锐利化图像数据的值设为该多个原始图像数据的最小值或将该锐利化图像数据的值乘以一默认值,以放大该锐利化图像数据的值。如此一来,可避免调升过度及背景噪声被放大的问题。In the image processing flow 30, step 304 performs sharpening processing on the original image data, which can be implemented in any sharpening processing flow, such as first performing high-pass filtering and coring operations on the original image data, and then multiplying the result of the coring operations A gain value is added to the original image data to generate sharpened image data. In addition, preferably, step 306 adjusts the sharpened image data according to the maximum and minimum values of the original image data. For example, if the value of a sharpened image data is greater than the maximum value of multiple original image data, the value of the sharpened image data can be set as the maximum value of the multiple original image data or the sharpened image data The value of is divided by a default value to attenuate the value of the sharpened image data. Conversely, if the value of a sharpened image data is less than the minimum value of multiple original image data, then the value of the sharpened image data can be set to the minimum value of the multiple original image data or the sharpened image data The value of is multiplied by a default value to amplify the value of the sharpened image data. In this way, the problems of excessive upscaling and amplification of background noise can be avoided.

在已知技术中,当通过提升缩放因子(即增益值)以加强软边缘时,硬边缘部分的图像会产生调升过度的现象,且背景噪声亦会被放大,因而造成图像质量下降。相较之下,本发明根据原始图像数据的极值,适度调整锐利化后的数据。因此,当提升软边缘部分图像的强度时,本发明可抑制硬边缘部分的图像产生调升过度的现象,并避免背景噪声被放大。In the known technology, when the soft edge is enhanced by increasing the scaling factor (ie, the gain value), the hard edge part of the image will be over-scaled, and the background noise will also be amplified, resulting in image quality degradation. In contrast, the present invention moderately adjusts the sharpened data according to the extremum of the original image data. Therefore, when the intensity of the soft-edge image is increased, the present invention can suppress the phenomenon of over-amplification of the image of the hard-edge, and prevent the background noise from being amplified.

关于图像处理流程30的硬件实现,请参考图4,图4为本发明实施例用于一图像处理系统的一图像处理装置40的示意图。图像处理装置40可提升经锐利化处理后的图像质量,其包含有一接收端400、一锐利化控制单元402、一锐利化补偿单元404及一输出端406。在图像处理装置40中,锐利化控制单元402用以对接收端400所接收的原始图像数据IN(m)~IN(n)进行锐利化处理,以产生锐利化图像数据IN_S(m)~IN_S(n),而锐利化补偿单元404则根据原始图像数据IN(m)~IN(n)调整锐利化图像数据IN_S(m)~IN_S(n),并通过输出端406输出调整结果OUT。因此,当原始图像数据IN(m)~IN(n)经锐利化控制单元402锐化处理后,锐利化补偿单元404会根据原始图像数据IN(m)~IN(n),调整锐利化后的图像数据IN_S(m)~IN_S(n),以避免调升过度并防止背景噪声被放大。Regarding the hardware implementation of the image processing process 30 , please refer to FIG. 4 , which is a schematic diagram of an image processing device 40 used in an image processing system according to an embodiment of the present invention. The image processing device 40 can improve the quality of the sharpened image, and includes a receiving end 400 , a sharpening control unit 402 , a sharpening compensation unit 404 and an output end 406 . In the image processing device 40, the sharpening control unit 402 is used to perform sharpening processing on the original image data IN(m)-IN(n) received by the receiving end 400 to generate sharpened image data IN_S(m)-IN_S (n), and the sharpening compensation unit 404 adjusts the sharpened image data IN_S(m)˜IN_S(n) according to the original image data IN(m)˜IN(n), and outputs the adjustment result OUT through the output terminal 406 . Therefore, when the original image data IN(m)-IN(n) is sharpened by the sharpening control unit 402, the sharpening compensation unit 404 adjusts the sharpened value according to the original image data IN(m)-IN(n). The image data IN_S(m)~IN_S(n) of the image to avoid excessive upscaling and prevent background noise from being amplified.

在图4中,锐利化控制单元402可以是任何可实现锐利化运算的电路或装置等,如图1的锐利化控制单元10。另一方面,较佳地,锐利化补偿单元404根据原始图像数据IN(m)~IN(n)的最大值与最小值,调整锐利化图像数据IN_S(m)~IN_S(n)。举例来说,若一锐利化图像数据IN_S(i)的值大于原始图像数据IN(m)~IN(n)的一最大值MAX时,可将锐利化图像数据IN_S(i)的值设为最大值MAX,以衰减锐利化图像数据IN_S(i)的值;相反地,若锐利化图像数据IN_S(i)的值小于原始图像数据IN(m)~IN(n)的最小值MIN时,则可将锐利化图像数据IN_S(i)的值设为最小值MIN,以放大该锐利化图像数据的值。在此情形下,锐利化补偿单元404可以以下程序代码实现(相关函式运算为业界所已知,不再赘述):In FIG. 4 , the sharpening control unit 402 may be any circuit or device capable of implementing sharpening operations, such as the sharpening control unit 10 in FIG. 1 . On the other hand, preferably, the sharpening compensation unit 404 adjusts the sharpened image data IN_S(m)˜IN_S(n) according to the maximum and minimum values of the original image data IN(m)˜IN(n). For example, if the value of a sharpened image data IN_S(i) is greater than a maximum value MAX of the original image data IN(m)˜IN(n), the value of the sharpened image data IN_S(i) can be set to The maximum value MAX is used to attenuate and sharpen the value of the image data IN_S(i); on the contrary, if the value of the sharpened image data IN_S(i) is smaller than the minimum value MIN of the original image data IN(m) ~ IN(n), Then, the value of the sharpened image data IN_S(i) can be set as the minimum value MIN to amplify the value of the sharpened image data. In this case, the sharpening compensation unit 404 can be implemented with the following program codes (related functional operations are known in the industry and will not be described in detail):

MAX=max(IN(m),IN(m+1),...IN(n-1),IN(n))MAX=max(IN(m), IN(m+1), ...IN(n-1), IN(n))

MIN=min(IN(m),IN(m+1),...IN(n-1),IN(n))MIN=min(IN(m), IN(m+1),...IN(n-1), IN(n))

if(IN_S(i)>MAX)if(IN_S(i)>MAX)

     OUT=MAX;OUT=MAX;

else if(IN_S(i)<MIN)else if(IN_S(i)<MIN)

     OUT=MIN;OUT=MIN;

elseelse

    OUT=IN_S(i);OUT=IN_S(i);

endend

除此之外,也可在锐利化图像数据IN_S(i)的值大于最大值MAX时,将锐利化图像数据IN_S(i)的值除以一默认值,以及在锐利化图像数据IN_S(i)的值小于最小值MIN时,将锐利化图像数据IN_S(i)的值乘以该默认值,则对应的程序代码如下:In addition, when the value of the sharpened image data IN_S(i) is greater than the maximum value MAX, the value of the sharpened image data IN_S(i) can be divided by a default value, and when the value of the sharpened image data IN_S(i) ) is smaller than the minimum value MIN, multiply the value of the sharpened image data IN_S(i) by the default value, and the corresponding program code is as follows:

MAX=max(IN(m),IN(m+1),...IN(n-1),IN(n))MAX=max(IN(m), IN(m+1), ... IN(n-1), IN(n))

MIN=min(IN(m),IN(m+1),...IN(n-1),IN(n))MIN=min(IN(m), IN(m+1),...IN(n-1), IN(n))

if(IN_S(i)>MAX)if(IN_S(i)>MAX)

     OUT=IN_S(i)/A;OUT=IN_S(i)/A;

else if(IN_S(i)<MIN)else if(IN_S(i)<MIN)

     OUT=IN_S(i)*B;OUT=IN_S(i)*B;

elseelse

     OUT=IN_S(i);OUT=IN_S(i);

endend

其中,A、B表示默认值。Among them, A and B represent default values.

特别注意的是,上述程序代码仅为实现锐利化补偿单元404的实施例,本领域技术人员可设计符合需求的电路、程序代码等,而不限于此。It should be noted that the above program code is only an embodiment for implementing the sharpening compensation unit 404 , and those skilled in the art can design circuits and program codes that meet requirements, and are not limited thereto.

综上所述,本发明根据原始图像数据的极值,适度调整锐利化后的数据。因此,当提升软边缘部分图像的强度时,本发明可有效抑制硬边缘部分的图像产生调升过度的现象,并避免背景噪声被放大。To sum up, the present invention moderately adjusts the sharpened data according to the extreme value of the original image data. Therefore, when the intensity of the soft-edge image is increased, the present invention can effectively suppress the phenomenon that the hard-edge image is over-upgraded, and prevent background noise from being amplified.

以上所述仅为本发明的较佳实施例,凡依本发明权利要求所做的均等变化与修饰,皆应属本发明的涵盖范围。The above descriptions are only preferred embodiments of the present invention, and all equivalent changes and modifications made according to the claims of the present invention shall fall within the scope of the present invention.

Claims (18)

1.一种用于一图像处理系统的图像处理方法,用以提升经锐利化处理后的图像的质量,包含有:1. An image processing method for an image processing system, in order to improve the quality of the sharpened image, comprising: 接收多个原始图像数据;receiving a plurality of raw image data; 对该多个原始图像数据进行锐利化处理,以产生多个锐利化图像数据;performing sharpening processing on the plurality of original image data to generate a plurality of sharpened image data; 根据该多个原始图像数据,调整该多个锐利化图像数据;以及adjusting the plurality of sharpened image data according to the plurality of original image data; and 输出调整后的该多个锐利化图像数据。Outputting the adjusted sharpened image data. 2.如权利要求1所述的图像处理方法,其中对该多个原始图像数据进行锐利化处理以产生该多个锐利化图像数据,包含有:2. The image processing method according to claim 1, wherein performing sharpening processing on the plurality of original image data to generate the plurality of sharpened image data comprises: 对该多个原始图像数据进行高通滤波运算,以产生多个高通滤波运算结果;performing a high-pass filtering operation on the plurality of original image data to generate a plurality of high-pass filtering operation results; 对该多个高通滤波运算结果进行核化运算,以产生多个核化运算结果;performing a coring operation on the plurality of high-pass filtering operation results to generate a plurality of coring operation results; 将该多个核化运算结果乘以一增益值,以产生多个边缘加强数据;以及multiplying the plurality of coring operation results by a gain value to generate a plurality of edge enhancement data; and 累加该多个边缘加强数据与该多个原始图像数据,以产生该多个锐利化图像数据。The plurality of edge enhancement data and the plurality of original image data are accumulated to generate the plurality of sharpened image data. 3.如权利要求1所述的图像处理方法,其中根据该多个原始图像数据调整该多个锐利化图像数据,根据该多个原始图像数据的最大值与最小值,调整该多个锐利化图像数据。3. The image processing method according to claim 1, wherein the plurality of sharpened image data are adjusted according to the plurality of original image data, and the plurality of sharpened image data are adjusted according to the maximum value and the minimum value of the plurality of original image data. image data. 4.如权利要求3所述的图像处理方法,其中根据该多个原始图像数据的最大值与最小值调整该多个锐利化图像数据,即在该多个锐利化图像数据的一锐利化图像数据的值大于该多个原始图像数据的最大值时,衰减该锐利化图像数据的值。4. The image processing method as claimed in claim 3, wherein adjusting the plurality of sharpened image data according to the maximum and minimum values of the plurality of original image data, that is, a sharpened image in the plurality of sharpened image data When the value of the data is greater than the maximum value of the plurality of original image data, attenuate the value of the sharpened image data. 5.如权利要求4所述的图像处理方法,其中衰减该锐利化图像数据的值系将该锐利化图像数据的值设为该多个原始图像数据的最大值。5. The image processing method as claimed in claim 4, wherein attenuating the value of the sharpened image data is setting the value of the sharpened image data to a maximum value of the plurality of original image data. 6.如权利要求4所述的图像处理方法,其中衰减该锐利化图像数据的值系将该锐利化图像数据的值除以一默认值。6. The image processing method as claimed in claim 4, wherein attenuating the value of the sharpened image data is dividing the value of the sharpened image data by a default value. 7.如权利要求3所述的图像处理方法,其中根据该多个原始图像数据的最大值与最小值调整该多个锐利化图像数据,即在该多个锐利化图像数据的一锐利化图像数据的值小于该多个原始图像数据的最小值时,放大该锐利化图像数据的值。7. The image processing method as claimed in claim 3 , wherein the plurality of sharpened image data are adjusted according to the maximum value and the minimum value of the plurality of original image data, that is, a sharpened image in the plurality of sharpened image data When the value of the data is smaller than the minimum value of the plurality of original image data, the value of the sharpened image data is amplified. 8.如权利要求7所述的图像处理方法,其中放大该锐利化图像数据的值系将该锐利化图像数据的值设为该多个原始图像数据的最小值。8. The image processing method as claimed in claim 7, wherein enlarging the value of the sharpened image data is setting the value of the sharpened image data to a minimum value of the plurality of original image data. 9.如权利要求7所述的图像处理方法,其中放大该锐利化图像数据的值系将该锐利化图像数据的值乘以一默认值。9. The image processing method as claimed in claim 7, wherein enlarging the value of the sharpened image data is multiplying the value of the sharpened image data by a default value. 10.一种用于一图像处理系统的图像处理装置,用以提升经锐利化处理后的图像的质量,包含有:10. An image processing device for an image processing system, used to improve the quality of the sharpened image, comprising: 一接收端,用来接收多个原始图像数据;A receiving end, used to receive a plurality of original image data; 一锐利化控制单元,耦接于该接收端,用来对该多个原始图像数据进行锐利化处理,以产生多个锐利化图像数据;A sharpening control unit, coupled to the receiving end, used to perform sharpening processing on the plurality of original image data to generate a plurality of sharpened image data; 一锐利化补偿单元,耦接于该接收端与该锐利化控制单元,用来根据该多个原始图像数据,调整该多个锐利化图像数据;以及a sharpening compensation unit, coupled to the receiving end and the sharpening control unit, for adjusting the plurality of sharpened image data according to the plurality of original image data; and 一输出端,耦接于该锐利化补偿单元,用来输出调整后的该多个锐利化图像数据。An output terminal is coupled to the sharpening compensation unit for outputting the adjusted sharpened image data. 11.如权利要求10所述的图像处理装置,其中该锐利化控制单元包含有:11. The image processing device as claimed in claim 10, wherein the sharpening control unit comprises: 一高通滤波器,耦接于该接收端,用来对该多个原始图像数据进行高通滤波运算,以产生多个高滤波运算结果;A high-pass filter, coupled to the receiving end, is used to perform high-pass filtering operation on the plurality of original image data to generate a plurality of high-pass filtering operation results; 一核化运算单元,耦接于该高通滤波器,用来对该多个高滤波运算结果进行核化运算,以产生多个核化运算结果;A coring operation unit, coupled to the high-pass filter, is used to perform coring operations on the multiple high-filtering calculation results to generate multiple coring calculation results; 一乘法器,耦接于该核化运算单元,用来将该多个核化运算结果乘以一增益值,以产生多个边缘加强数据;以及A multiplier, coupled to the coring operation unit, is used to multiply the plurality of coring operation results by a gain value to generate a plurality of edge enhancement data; and 一加法器,耦接于该乘法器及该接收端,用来累加该多个边缘加强数据与该多个原始图像数据,以产生该多个锐利化图像数据。An adder, coupled to the multiplier and the receiving end, is used to accumulate the plurality of edge enhancement data and the plurality of original image data to generate the plurality of sharpened image data. 12.如权利要求10所述的图像处理装置,其中该锐利化补偿单元包含有:12. The image processing device as claimed in claim 10, wherein the sharpening compensation unit comprises: 一极值判断单元,耦接于该接收端,用来判断该多个原始图像数据的最大值与最小值;以及an extremum judging unit, coupled to the receiving end, for judging the maximum and minimum values of the plurality of original image data; and 一限制器,耦接于该极值判断单元与该锐利化控制单元,用来根据该多个原始图像数据的最大值与最小值,调整该多个锐利化图像数据。A limiter, coupled to the extreme value judging unit and the sharpening control unit, is used for adjusting the plurality of sharpened image data according to the maximum and minimum values of the plurality of original image data. 13.如权利要求12所述的图像处理装置,其中该限制器在该多个锐利化图像数据的一锐利化图像数据的值大于该多个原始图像数据的最大值时,衰减该锐利化图像数据的值。13. The image processing apparatus according to claim 12, wherein the limiter attenuates the sharpened image when a value of a sharpened image data of the plurality of sharpened image data is greater than a maximum value of the plurality of original image data The value of the data. 14.如权利要求13所述的图像处理装置,其中该限制器衰减该锐利化图像数据的值系将该锐利化图像数据的值设为该多个原始图像数据的最大值,以衰减该锐利化图像数据的值。14. The image processing device according to claim 13 , wherein the limiter attenuates the value of the sharpened image data by setting the value of the sharpened image data to the maximum value of the plurality of original image data to attenuate the sharpness. value of the image data. 15.如权利要求13所述的图像处理装置,其中该限制器衰减该锐利化图像数据的值系将该锐利化图像数据的值除以一默认值,以衰减该锐利化图像数据的值。15. The image processing device as claimed in claim 13, wherein the limiter attenuates the value of the sharpened image data by dividing the value of the sharpened image data by a default value to attenuate the value of the sharpened image data. 16.如权利要求12所述的图像处理装置,其中该限制器在该多个锐利化图像数据的一锐利化图像数据的值小于该多个原始图像数据的最小值时,放大该锐利化图像数据的值。16. The image processing apparatus as claimed in claim 12, wherein the limiter enlarges the sharpened image when a value of a sharpened image data of the plurality of sharpened image data is smaller than a minimum value of the plurality of original image data The value of the data. 17.如权利要求16所述的图像处理装置,其中该限制器放大该锐利化图像数据的值将该锐利化图像数据的值设为该多个原始图像数据的最小值,以放大该锐利化图像数据的值。17. The image processing apparatus as claimed in claim 16, wherein the limiter amplifies the value of the sharpening image data and sets the value of the sharpening image data to a minimum value of the plurality of original image data to amplify the sharpening The value of the image data. 18.如权利要求16所述的图像处理装置,其中该限制器放大该锐利化图像数据的值将该锐利化图像数据的值乘以一默认值,以放大该锐利化图像数据的值。18. The image processing device as claimed in claim 16, wherein the limiter amplifies the value of the sharpened image data by multiplying the value of the sharpened image data by a default value to amplify the value of the sharpened image data.
CN200710106385XA 2007-05-28 2007-05-28 Image processing method for image processing system and related image processing device Expired - Fee Related CN101316320B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN200710106385XA CN101316320B (en) 2007-05-28 2007-05-28 Image processing method for image processing system and related image processing device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN200710106385XA CN101316320B (en) 2007-05-28 2007-05-28 Image processing method for image processing system and related image processing device

Publications (2)

Publication Number Publication Date
CN101316320A true CN101316320A (en) 2008-12-03
CN101316320B CN101316320B (en) 2010-06-23

Family

ID=40107145

Family Applications (1)

Application Number Title Priority Date Filing Date
CN200710106385XA Expired - Fee Related CN101316320B (en) 2007-05-28 2007-05-28 Image processing method for image processing system and related image processing device

Country Status (1)

Country Link
CN (1) CN101316320B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102281387A (en) * 2010-06-09 2011-12-14 联咏科技股份有限公司 Image instantaneous improvement device
CN103165100A (en) * 2013-02-05 2013-06-19 华映视讯(吴江)有限公司 Weight type image enhancing method and system
TWI490818B (en) * 2013-01-02 2015-07-01 Chunghwa Picture Tubes Ltd Method and system for weighted image enhancement

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE69428148T2 (en) * 1993-03-24 2002-05-29 Fujifilm Electronic Imaging Ltd., London Color change of pictures
US6674486B2 (en) * 2000-05-31 2004-01-06 Sony Corporation Signal processor and signal processing method
KR20040005905A (en) * 2001-03-30 2004-01-16 코닥 폴리크룸 그래픽스 엘엘씨 Automated sharpening of images for soft proofing
JP4126938B2 (en) * 2002-03-22 2008-07-30 セイコーエプソン株式会社 Image processing apparatus and image output apparatus

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102281387A (en) * 2010-06-09 2011-12-14 联咏科技股份有限公司 Image instantaneous improvement device
CN102281387B (en) * 2010-06-09 2013-07-24 联咏科技股份有限公司 Image instantaneous improvement device
TWI490818B (en) * 2013-01-02 2015-07-01 Chunghwa Picture Tubes Ltd Method and system for weighted image enhancement
CN103165100A (en) * 2013-02-05 2013-06-19 华映视讯(吴江)有限公司 Weight type image enhancing method and system
CN103165100B (en) * 2013-02-05 2014-12-31 华映视讯(吴江)有限公司 Weight type image enhancing method and system

Also Published As

Publication number Publication date
CN101316320B (en) 2010-06-23

Similar Documents

Publication Publication Date Title
TWI314418B (en) Edge compensated feature detector and method thereof
US8885967B2 (en) Method and apparatus for content adaptive sharpness enhancement
JP2005175735A (en) Video signal processing apparatus, television receiver using the same, and video signal processing method
EP1190388A2 (en) System and method for improving the sharpness of a video image
KR100565065B1 (en) Method and apparatus for image detail enhancement using filter bank
TWI401943B (en) Image processing method and related apparatus for an image processing system
CN101316320B (en) Image processing method for image processing system and related image processing device
JP4768510B2 (en) Image quality improving apparatus and image quality improving method
US9589330B2 (en) Image processing apparatus and image processing method with data modification based on changes in data ranges
US20120147051A1 (en) Image enlargement device, image enlargement program and display apparatus
WO2011105377A1 (en) Image processing apparatus, display apparatus provided with same, and image processing method
JP4538358B2 (en) Image processing device
JP2006333202A (en) Video signal processor and video signal processing method
US9147231B2 (en) Resolution determination device, image processing device, and image display apparatus
JP5730362B2 (en) Image processing apparatus and image processing method
US8049819B2 (en) Method of shoot suppression and an image quality improvement apparatus
JP4526405B2 (en) TV image processing device
JP2013042319A (en) Image processing apparatus, image processing method, and computer program
JP4454375B2 (en) Image edge correction device, video display device, and image edge correction method
JP2012526458A (en) Content Adaptive Scaler Based on Fallow Structure
JP2007110327A (en) Image display apparatus and image display method
EP2541895B1 (en) Image processing apparatus, display apparatus provided with same, and image processing method
JP4483407B2 (en) Video signal processing device
Cho et al. Color transient improvement with transient detection and variable length nonlinear filtering
Cho Adaptively rate-controlled shoot suppression

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100623

Termination date: 20150528

EXPY Termination of patent right or utility model