CN102006430B - Noise removing method applied to image sensor and relevant device - Google Patents

Noise removing method applied to image sensor and relevant device Download PDF

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CN102006430B
CN102006430B CN 200910168648 CN200910168648A CN102006430B CN 102006430 B CN102006430 B CN 102006430B CN 200910168648 CN200910168648 CN 200910168648 CN 200910168648 A CN200910168648 A CN 200910168648A CN 102006430 B CN102006430 B CN 102006430B
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value
target pixel
similar
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史妙红
米塔艾民
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英属开曼群岛商恒景科技股份有限公司
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Abstract

一种去除噪声的方法,包含有:比较目标像素的像素值与多个邻近像素的像素值,其中所述目标像素与所述多个邻近像素皆对应特定色彩成分;针对所述多个邻近像素中每一邻近像素,检查所述邻近像素的像素值与所述目标像素的像素值的差值是否小于特定噪声临界值,以及当邻近像素的像素值与所述目标像素的像素值的差值小于所述特定噪声临界值时,将所述邻近像素设为相似邻近像素;以及根据所述目标像素的像素值以及每一相似邻近像素的像素值来更新所述目标像素的像素值。 A method for removing noise, comprising: comparing the pixel value of the target pixel and the plurality of neighboring pixels, wherein the target pixel and the adjacent pixels are corresponding to the plurality of specific color component; for the plurality of neighboring pixels each neighboring pixel, the difference between the pixel values ​​of the target pixel with the pixel value of the neighboring pixel is checked whether the particular noise is less than the threshold value, and when the difference between the pixel value of the pixel values ​​of the neighboring pixels of the target pixel the noise is less than a certain threshold, the neighboring pixels similar to neighboring pixels; and updating the pixel value of the target pixel based on the pixel value of the target pixel and the adjacent pixel values ​​for each pixel similar.

Description

应用于影像传感器的噪声去除方法与相关装置 A noise removal method applied to an image sensor associated with the apparatus

技术领域 FIELD

[0001] 本发明涉及影像处理,尤指一种利用特定噪声临界值以去除影像传感器中噪声的方法及相关装置。 [0001] A method of using a particular noise threshold to remove noise in the image sensor and associated image processing apparatus of the present invention relates, esp.

背景技术 Background technique

[0002] 于影像系统中,三种色彩成份必须同时地被撷取以便可精确地表示出影像的内容,而为了建构可同时撷取三种色彩成份的数字影像撷取系统,往往需要使用三个独立的影像传感器,如此一来,将造成生产成本过高以及使产品结构变得十分复杂,所以,为了使数字影像撷取系统的成本与尺寸达到最小化,数字影像撷取系统上的影像传感器阵列(由多个硅芯片所构成)亦必须让其尺寸减小,换言之,色彩取样的个数便必须是一个较小的数值。 [0002] The imaging system in the three color components must be retrieved so as to be an accurate indication of the content of the image, and to construct three color components can be simultaneously capturing a digital image capture system, often you need to use three independent image sensors, this way, will result in high production costs and complicates the structure of the product, therefore, in order to make the cost and size of digital image capture system minimized, the image on the digital image capturing system a sensor array (constituted by a plurality of silicon chips) must also be allowed to reduce the size, in other words, the number of color samples will have to be a smaller value. 一种可行的方法是使影像撷取系统中每一影像传感器仅收集单一色彩的数据来产生具有低数据量的撷取影像,所以,影像撷取系统一般而言便采用马赛克式彩色滤镜(Mosaic Color Filter),其中该马赛克式彩色滤镜又可被称作彩色滤镜阵列(ColorFilter Array, CFA),因此,影像撷取系统便经由取样三种色彩成份之一所得到的色彩阵列来获得撷取影像,其中该色彩阵列针对每一像素而储存其所包含的单一色彩成份。 One possible approach is to make the data of each image capture system to collect only a single color image sensor to produce a captured image having a low volume of data, so the image capture system will generally employ a mosaic-type color filter ( mosaic color filter), wherein the mosaic color filter in turn is called color filter array (ColorFilter array, CFA), and therefore, the image capture system will be one of an array of color sample via three color components are obtained to obtain captured image, wherein the color array for each pixel and storing it contains a single color components. 由于影像感测系统忽略各像素的其它两种色彩成份,因此,对于每一像素而言,影像感测系统所获取的原始感测数据便包含较少的色彩取样。 Since the image sensing system to ignore each pixel of the other two color components, therefore, for each pixel, the image sensing system acquired raw sensed data will contain less color sampling. 由于彩色滤镜阵列中的每一滤镜对应一像素并仅允许位于特定频带的色彩成份通过,因此在所撷取的影像被进一步处理或显示之前,每一像素所缺乏的色彩成份便必须先进行重建以使每一像素能包含所有的三种色彩成份。 Since each filter before the color filter array corresponding pixel color components and allows only a specific frequency band is located by, thus further processing or display images captured in each pixel are lacking color components will have to reconstruction so that each pixel can contain all three color components.

[0003] 不过,无论摄影机规格如何完善,仍没有任何影像是绝对完美的,影像会因噪声的存在而被干扰。 [0003] However, no matter how perfect on camera, still no image is absolutely perfect, the image will be due to the presence of noise and interference. 在数字影像中,噪声的主要来源是在影像撷取、数字化及/或传输期间出现。 In digital imaging, the main source of noise in the image capture occurs during digitization and / or transport. 影像传感器的表现受到很多因素的影响,像是在影像撷取期间环境情况,以及感测元件本身的质量,例如,在电荷稱合元件(Charge-Coupled Device, CCD)照相机的影像撷取中,光度和传感器的温度是影响所产生影像中之噪声量的重要因素。 Performance of the image sensor is affected by many factors, such as environmental conditions, and the quality of the sensing element itself during image capturing, for example, the charge image capturing said engagement element (Charge-Coupled Device, CCD) camera, luminosity and the temperature sensor is an important factor in the amount of noise in the image of the impact of.

[0004] 过滤数字影像以于保护影像细节的过程中衰减噪声,是一个影像处理中必要的处理步骤,例如,由于许多应用皆是基于影像运算的应用所得出的运算子,因此影像中任何的噪声皆会造成严重的错误结果。 [0004] The filtered digital image in order to process protected image detail in the attenuation of noise, a video processing necessary in processing steps, e.g., because many applications are based on the application image computing the derived operator, so the image of any noise can cause serious errors are the result. 所以,噪声衰减的目的不仅要改进视觉质量,而且更能提升后续处理工作的效能,例如编码(coding)、分析切割(analysis cutting)、辨识(identification)或者角军释(interpretation)等。 Therefore, not only the noise attenuation object to improve visual quality and better enhance the effectiveness of subsequent processing, such as coding (Coding), cleavage analyzes (analysis cutting), identification (Identification) or release angle Army (Interpretation) and the like.

发明内容 SUMMARY

[0005] 因此,本发明的目的之一在于提供一种利用特定噪声临界值以去除影像传感器中噪声的方法及相关装置,以在避免造成影像边缘以及细节模糊的情况下尽可能的去除不必要的噪声。 [0005] Accordingly, an object of the present invention is to provide a noise threshold using a specific method and related apparatus for removing noise in the image sensor, in order to avoid the image blur edges and details unnecessary to remove as noise.

[0006] 依据本发明的一实施例,其揭露一种应用于影像传感器的噪声去除方法,所述影像传感器包含特定彩色滤镜阵列以及像素阵列,所述像素阵列包含有多个像素,每一像素皆对应多个色彩成分的其中之一,所述噪声去除方法包含有: [0006] According to one embodiment of the present invention, which is applied discloses a method for removing noise of the image sensor, said image sensor comprising the color filter array, and a particular pixel array, the pixel array comprising a plurality of pixels, each one of the pixel corresponding to all the plurality of color components, the noise removing method comprising:

[0007] 比较目标像素的像素值与多个邻近像素的像素值,其中所述目标像素与所述多个邻近像素皆对应特定色彩成分; [0007] comparing the pixel value of the target pixel and the plurality of neighboring pixels, wherein the target pixel and the adjacent pixels are corresponding to the plurality of specific color component;

[0008] 针对所述多个邻近像素中的每一邻近像素: [0008] for the plurality of neighboring pixels of each adjacent pixel:

[0009] 利用检查电路来检查所述邻近像素的像素值与所述目标像素的像素值是否相似;以及 [0009] verifying the neighboring pixel value and the pixel value of the target pixel using the check circuit are similar; and

[0010] 当所述邻近像素的像素值与所述目标像素的像素值被认定为相似时,将所述邻近像素设为相似邻近像素;以及 [0010] When the neighboring pixel values ​​of the target pixel when the value is recognized as similar to the similar neighboring pixels adjacent the pixel; and

[0011] 根据所述目标像素的像素值以及每一相似邻近像素的像素值来更新所述目标像素的像素值, [0011] updating the pixel value of the target pixel according to the pixel value of the target pixel and each of adjacent pixels similar,

[0012] 其中当所述邻近像素的像素值与所述目标像素的像素值的差值小于特定噪声临界值时,所述邻近像素的像素值与所述目标像素的像素值被认定为相似, When [0012] wherein when the neighboring pixel value of the pixel and the target pixel difference is smaller than a certain noise threshold, the neighboring pixel value of the target pixel is determined to be similar,

[0013] 所述方法还包含有: [0013] The method further comprises:

[0014] 根据所述目标像素在所述影像传感器中的位置来设定所述特定噪声临界值; [0014] sets the noise threshold according to the specific target pixel location in the image sensor;

[0015] 其中当所述目标像素位于所述影像传感器中第一位置时,所述特定噪声临界值被设为第一值;以及当所述目标像素位于所述影像传感器中第二位置时,所述特定噪声临界值被设为不同于所述第一值的第二值,其中所述第二位置不同于所述第一位置, [0015] wherein when the target pixel of the image sensor positioned in a first position, the certain noise threshold is set to a first value; and when the target pixel of the image sensor positioned in a second position, the particular noise threshold is set to a second value different from said first value, wherein said second position different from the first position,

[0016] 其中所述第一位置较所述第二位置靠近所述影像传感器的中心位置,以及所述第一值小于所述第二值。 [0016] wherein said first position relatively close to the second position to the center position of the image sensor, and the second value is smaller than the first value.

[0017] 依据本发明的另一实施例,其揭露一种应用于影像传感器的噪声去除装置,所述影像传感器包含特定彩色滤镜阵列以及像素阵列,所述像素阵列包含有多个像素,每一像素皆对应多个色彩成分的其中之一,所述噪声去除装置包含有: [0017] According to another embodiment of the present invention, which discloses an image sensor is applied to a noise removing device, said image sensor comprising the color filter array, and a particular pixel array, the pixel array comprising a plurality of pixels, each of It is one of the plurality of color components corresponding to a pixel in which the noise removal means comprises:

[0018] 比较电路,用以比较目标像素的像素值与多个邻近像素的像素值,其中所述目标像素与所述多个邻近像素皆对应特定色彩成分; [0018] The comparator circuit for comparing the pixel values ​​of the target pixel value with a plurality of neighboring pixels, wherein the target pixel and the adjacent pixels are corresponding to the plurality of specific color component;

[0019] 检查电路,耦接于所述比较电路,其中针对所述多个邻近像素中每一邻近像素: [0019] check circuit, coupled to the comparator circuit, wherein said plurality of neighboring pixels for each adjacent pixel:

[0020] 所述检查电路检查所述邻近像素的像素值与所述目标像素的像素值是否相似,以及当所述邻近像素的像素值与所述目标像素的像素值被认定为相似时,所述检查电路将所述邻近像素设为相似邻近像素,其中当所述邻近像素的像素值与所述目标像素的像素值的差值小于特定噪声临界值时,所述邻近像素的像素值与所述目标像素的像素值被认定为相似; [0020] The inspection of the neighboring pixels and the pixel value of the target pixel to check whether the circuit is similar, and when the pixel values ​​of the neighboring pixels of the target pixel is determined to be similar, when said check circuit similar to the adjacent pixel adjacent to the pixel, wherein a difference value of pixel values ​​of pixels adjacent to the pixel when the target pixel is smaller than a certain noise threshold, the neighboring pixel value and the the pixel value of said target pixel is identified to be similar;

[0021] 像素值更新电路,耦接于所述检查电路,用以根据所述目标像素的像素值以及每一相似邻近像素的像素值来更新所述目标像素的像素值;以及 [0021] The pixel value updating circuit, coupled to the check circuit for updating the pixel value of the target pixel according to the pixel value of the target pixel and each of adjacent pixels like; and

[0022] 临界值设定电路,耦接于所述检查电路,并用以根据所述目标像素在所述影像传感器中的位置来设定所述特定噪声临界值,其中当所述目标像素位于所述影像传感器中第一位置时,所述特定噪声临界值被设为第一值,以及当所述目标像素位于所述影像传感器中第二位置时,所述特定噪声临界值被设为不同于所述第一值的第二值,其中所述第二位置不同于所述第一位置,其中所述第一位置较所述第二位置靠近所述影像传感器的中心位置,以及所述第一值小于所述第二值。 [0022] The threshold value setting circuit, coupled to the check circuit, and for setting the noise threshold according to the specific target pixel location in the image sensor, wherein when the target pixel is located in the when the image sensor in said first position, the particular noise threshold is set to a first value, and when the target pixel of the image sensor positioned in a second position, the specific set is different than the noise threshold the second value of the first value, wherein said second position different from the first position, wherein the first position to the second position than the position near the center of the image sensor, and the first value is less than the second value.

[0023] 本发明的实施例提供一种利用特定噪声临界值以去除影像传感器中噪声的方法及相关装置,同时亦能保护影像边缘以及其余影像细节。 Example [0023] The present invention provides a noise threshold with a specific method and related apparatus for removing noise in the image sensor, and can also protect the edges of the image and the remaining image details.

附图说明 BRIEF DESCRIPTION

[0024] 图1为本发明应用于影像传感器的噪声去除装置的一实施例的示意图; [0024] FIG. 1 is applied to a noise of the image sensor illustrates one embodiment of the present invention, the removing device;

[0025] 图2A为本发明影像传感器的一实施例的示意图; [0025] FIG. 2A of the present invention, the image sensor is a schematic of an embodiment;

[0026] 图2B为本发明影像传感器的另一实施例的示意图; A schematic view of another embodiment [0026] FIG. 2B of the present invention, the image sensor;

[0027] 图2C为本发明影像传感器的再另一实施例的示意图; Illustration of another [0027] FIG 2C of the present invention, an image sensor according to another embodiment;

[0028] 图3为本发明应用于影像传感器的噪声去除方法的一实施例的流程图。 [0028] FIG. 3 is a flowchart of an embodiment of the present invention is applied to a noise removing method of the image sensor.

具体实施方式 detailed description

[0029] 在说明书及后续的权利要求当中使用了某些词汇来指称特定的元件。 [0029] Certain terms are used throughout the description and following claims to refer to particular components. 本领域技术人员应可理解,硬件制造商可能会用不同的名词来称呼同样的元件。 Those skilled in the art will appreciate, manufacturers may use different names to refer to the same elements. 本说明书及后续的权利要求并不以名称的差异来作为区分元件的方式,而是以元件在功能上的差异来作为区分的准则。 The present specification and the following claims are not to differ in name as a way to distinguish one element, but rather the difference in function element as a criterion to distinguish. 在通篇说明书及后续的权利要求当中所提及的「包含」为开放式的用语,故应解释成「包含但不限定于」。 Mentioned in the following description and in the claims, "comprising" is open-ended fashion, and thus should be interpreted to mean "including, but not limited to." 另外,「耦接」一词在此指包含任何直接及间接的电气连接手段。 In addition, the "couple" is intended to mean means any direct or indirect electrical connection included. 因此,若文中描述第一装置耦接于第二装置,则代表该第一装置可直接电气连接于该第二装置,或通过其它装置或连接手段间接地电气连接至该第二装置。 Accordingly, if one device is coupled to the second means, it represents the first device may be directly electrically connected to the second means, coupled to the second means, or by other means or indirect electrical connection.

[0030] 参考图1,图1为本发明应用于影像传感器的噪声去除装置100的一实施例的示意图。 [0030] Referring to FIG 1, FIG. 1 is applied to the noise of the image sensor a schematic of an embodiment of the present invention, apparatus 100 is removed. 噪声去除装置100利用特定噪声临界值Vs来去除影像传感器的噪声,而该影像传感器包含特定彩色滤镜阵列以及像素阵列,每一像素皆对应到一彩色滤镜,从而对应至多个色彩成分的其中之一。 Noise removal means 100 with a specific threshold value Vs noise removing noise of the image sensor, the image sensor comprising the color filter array and a specific array of pixels, each pixel corresponds to both a color filter, so as to correspond to a plurality of color components wherein one. 为了便于说明,本发明的实施例以拜尔(Bayer)彩色滤镜阵列来表示该特定彩色滤镜阵列,然而,此仅是作为范例说明之用,并非为本发明的限制。 For ease of description, embodiments of the present invention to Bayer (Bayer) color filter array to represent the particular color filter array, however, this is merely for illustrative purposes, not limiting the present invention.

[0031] 噪声去除装置100包含比较电路10、检查电路20、像素值更新电路30以及临界值设定电路40。 [0031] The noise removal apparatus 100 includes a comparator circuit 10, 20, the pixel value updating circuit 30 and the threshold setting circuit check circuit 40. 比较电路10用以比较该像素阵列中目标像素Pt的像素值与多个邻近像素的像素值,其中目标像素Pt与该多个邻近像素皆对应特定色彩成分,也就是说,目标像素Pt与该多个被选来与目标像素Pt比较的邻近像素皆具有相同的色彩成分。 Comparison circuit 10 for comparing the pixel value of the target pixel Pt and the plurality of neighboring pixels of the pixel array, wherein the target pixel Pt and the plurality of neighboring pixels are corresponding to a particular color component, i.e., the target pixel Pt compared to a plurality of selected target pixel Pt are adjacent pixels having the same color component. 比较电路10计算每一邻近像素的像素值与目标像素Pt的像素值的差值Diff,并将差值Diff送至耦接于比较电路10的检查电路20。 Diff comparator circuit 10 calculates a difference value of each pixel adjacent to the pixel value of the target pixel Pt and supplied to the difference Diff check circuit 20 is coupled to the comparator circuit 10.

[0032] 对于所选取的该多个邻近像素中的每一邻近像素Pn而言,检查电路20会检查邻近像素Pn的像素值与目标像素Pt的像素值之间的差值DifT是否小于特定噪声临界值Vs,在此实施例中,当邻近像素Pn的像素值与目标像素Pt的像素值的差值Diff小于特定噪声临界值Vs时,检查电路20便将邻近像素Pn设定为相似邻近像素。 [0032] For each of the plurality of neighboring pixels adjacent to the pixel Pn in selected, the check circuit 20 checks DifT difference between the pixel values ​​of neighboring pixels of the target pixel Pn Pt is smaller than the specific noise when Vs of the threshold, in this embodiment, when the difference Diff pixel values ​​of pixels adjacent to the pixel values ​​of the target pixel Pn Pt is smaller than a certain critical value Vs of the noise, check circuit 20 is set to put the similar neighboring pixels adjacent pixels Pn .

[0033] 像素值更新电路30耦接于检查电路20,用以根据目标像素Pt的像素值以及由检查电路20所认定的每一相似邻近像素的像素值来更新目标像素Pt的像素值。 [0033] The pixel value updating circuit 30 is coupled to the check circuit 20 for the pixel to update the value of the target pixel Pt based pixel value for each target pixel Pt and identified by the inspection circuit 20 similar to neighboring pixels. 临界值设定电路40耦接于检查电路20,用以根据目标像素Pt来设定特定噪声临界值Vs,而如何设定特定噪声临界值Vs以及更新目标像素Pt的像素值将在后续的实施例中加以说明。 Threshold pixel value setting circuit 40 is coupled to the check circuit 20 for setting the noise threshold Vs in accordance with a particular target pixel Pt, and how to set the noise threshold Vs and a specific update target pixel Pt in subsequent embodiments will be Examples will be described.

[0034] 一并参考图1以及图2A。 [0034] refer to FIG. 1 and FIG. 2A. 图2A为本发明影像传感器200的一实施例的示意图。 FIG 2A is a schematic of an embodiment of the image sensor 200 of the present invention. 如图2A中所示,影像传感器200包含对应绿色色彩成分的像素G1-G13,对应红色色彩成分的像素R1-R6,以及对应蓝色色彩成分的像素B1-B615由于噪声在红色以及蓝色像素中通常比在绿色像素中容易被看见,故临界值设定电路40便会根据目标像素Pt的色彩成分来设定特定噪声临界值Vs。 As shown in FIG. 2A, the image sensor 200 includes a pixel corresponding to the green color component G1-G13, a pixel corresponding to the red color components R1-R6, and blue color components of the pixels corresponding to B1-B615 due to noise in the red and blue pixels usually readily seen than in the green pixel, so the threshold value setting circuit 40 will be set to a particular color component in accordance with the noise threshold of the target pixel Pt Vs. 当目标像素Pt为影像传感器200中绿色像素(如像素G1)时,临界值设定电路40将特定噪声临界值Vs设为第一色彩值Cl ;当目标像素Pt为影像传感器200中红色像素(如像素1^)时,临界值设定电路40将特定噪声临界值Vs设为不同于第一色彩值Cl的第二色彩值C2 ;当目标像素Pt为影像传感器200中蓝色像素(如像素B1)时,临界值设定电路40将特定噪声临界值Vs设为不同于第一色彩值Cl的第三色彩值C3。 When the target pixel Pt of the green pixels in the image sensor 200 (e.g. pixel G1), threshold value setting circuit 40 to a certain noise threshold value Vs is set to a first color Cl; when the target pixel Pt of the red pixel in the image sensor 200 ( ^ 1 pixel), the threshold value setting circuit 40 is set to a certain noise threshold is different from the first color value Vs Cl C2 of the second color value; when the target pixel Pt of the blue pixel image sensor 200 (e.g., pixels when B1), the threshold value setting circuit 40 is set to a certain noise threshold is different from the first color value Vs Cl third color value C3.

[0035] 以对应绿色色彩成分的像素G7作为目标像素Pt为例,比较电路10会比较影像传感器200中目标像素G7的像素值与多个邻近像素G1' G2、G3、G4, G5, G6、G8、G9、G1(1、Gn、G12、G13的像素值。请注意上述实施例中所选的像素仅作为范例说明之用,换句话说,目标像素周围的邻近像素的选取方式可依不同的设计需求作弹性调整。 [0035] In the pixel corresponding to the green color component of the target pixel Pt G7 as an example, comparator 10 compares the image sensor circuit pixel value of the target pixel 200 and the plurality of neighboring pixels G7 G1 'G2, G3, G4, G5, G6, G8, G9, G1 (1, Gn, G12, G13 of the pixel value. Note that the above-described embodiments, the pixel selected as an example for illustrative purposes only, in other words, neighboring pixels surrounding the target pixel selected according to different ways the design requirements for the flexibility to adjust.

[0036] 检查电路20检查邻近像素G1的像素值与目标像素G7的像素值之间的第一差值Diff_l是否小于第一色彩值Cl,假若检查电路20判定第一差值Diff_l小于第一色彩值Cl,则将邻近像素G1设为相似邻近像素。 Diff_l first difference between the pixel value [0036] 20 checks the check circuit G1 neighboring pixels of the target pixel value of the pixel G7 is smaller than the first color value Cl, check circuit 20 determines if the first difference is smaller than the first color Diff_l value Cl, then similar to neighboring pixels adjacent to the pixel G1. 接下来,检查电路20继续检查另一邻近像素G2的像素值与目标像素G7的像素值之间的第二差值Diff_2是否亦小于第一色彩值Cl,假若检查电路20判定第二差值Diff_2小于第一色彩值Cl,则将邻近像素G2设为相似邻近像素,依此类推。 Next, check circuit 20 continues to check whether a second difference between the pixel values ​​Diff_2 another neighboring pixel G2 pixel value of the target pixel G7 also smaller than the value of the first color Cl, check circuit 20 determines if the second difference Diff_2 value smaller than the first color Cl, then the adjacent pixel G2 is similar to neighboring pixels, and so on. 在检查电路20完成上述检查ί呆作之后,若邻近像素G3、G5>G8>G10被认定为相似邻近像素,则像素值更新电路30对目标像素G7的像素值以及相似邻近像素G3、G5、G8、G1Q的像素值进行平均来更新目标像素G7的像素值,更具体的来说,目标像素G7的更新像素值可如以下算式(I)所示: After the inspection circuit 20 to complete the inspection ί stay for, if the neighboring pixels G3, G5> G8> G10 was identified as similar neighboring pixels, the pixel value updating circuit 30 the target pixel value and G7 and similar neighboring pixels G3, G5, G8, the pixel values ​​are averaged to update the G1Q pixel value of the pixel G7, and more specifically, the updated pixel value of the target pixel G7 may be as the following formula (I) below:

[0037] Pixel G1 =-{Plxel_(L 十Pixe十Pixd_G' + Pixel_(j^ +Pixel_Gn)) ⑴ [0037] Pixel G1 = - {Plxel_ (L Pixe ten ten Pixd_G '+ Pixel_ (j ^ + Pixel_Gn)) ⑴

— 5 — — — — — - 5 - - - - -

[0038]于算式(I)中,Pixel_G7、Pixel_G3、Pixel_G5、Pixel_G8、Pixel_G10 分别代表目标像素G7以及相似邻近像素G3、G5、G8、G10的像素值。 [0038] in formula (I) is, Pixel_G7, Pixel_G3, Pixel_G5, Pixel_G8, Pixel_G10 G7 representing the target pixel and the neighboring pixels is similar to G3, G5, G8, G10 of the pixel values.

[0039] 参考图2B,图2B为本发明影像传感器200的另一实施例的示意图。 [0039] Referring to FIG. 2B, FIG 2B is a schematic diagram of another embodiment of the invention, the image sensor 200 of the embodiment. 在此实施例中,当像素值更新电路30对目标像素G7的像素值以及相似邻近像素G3、G5、G8、G1(i的像素值进行平均时,像素值更新电路30可根据目标像素G7与相似邻近像素G3、G5、G8、G1(i之间的距离来设定每一相似邻近像素的权重值,也就是说,目标像素G7的更新像素值可由加权平均运算来求得。举例来说,如图2B中所示,目标像素G7与相似邻近像素G5、G10的距离为D1,故相似邻近像素G5、Gltl的权重值可依此设为第一权重值Wl ;同样地,目标像素G7与相似邻近像素G8的距离为D2,故相似邻近像素G8的权重值可依此设为第二权重值W2,以及目标像素G7与相似邻近像素G3的距离为D3,因此相似邻近像素G3的权重值可依此设为第三权重值W3。目标像素G7的更新像素值可如以下算式(2)所示: In this embodiment, when the pixel value updating circuit 30 the pixel values ​​of the target pixel G7, and similar neighboring pixels G3, G5, G8, G1 (the pixel value i of the averaging, the pixel value updating circuit 30 according to the target pixel G7 and similar neighboring pixels G3, G5, G8, G1 distance between I (to set the weight values ​​for each similar neighboring pixels, i.e., the updated pixel value of the target pixel G7 may be obtained by a weighted averaging operation. for example, , as shown in Figure 2B, similar to the target pixel and neighboring pixels G5 G7, G10 is the distance D1, it is similar to neighboring pixels G5, Gltl weight value may be set so Wl of the first weight value; Likewise, the target pixel G7 a distance similar to neighboring pixels G8 is D2, it is similar to the adjacent pixel weighting values ​​G8 may be so set as a second weight value W2, and the target pixel G7 and a similar distance to the adjacent pixel G3 is D3, so similar to the adjacent right pixel G3 weight value may be set so W3 third weight value to update the pixel values ​​of the target pixel G7 may be as shown in the following equation (2):

[0040] [0040]

Pixei Cr, =-ΐ-[Pixel (I +Wl^PixeI G +W^Pixe! (^WTfPixel Ck +WVfPixel Gr) Pixei Cr, = -ΐ- [Pixel (I + Wl ^ PixeI G + W ^ Pixe! (^ WTfPixel Ck + WVfPixel Gr)

-7 i+2(m+my —丨 —— —10 -7 i + 2 (m + my - Shu ---10

(2) (2)

[0041]于算式(2)中,Pixel_G7、Pixel_G3、Pixel_G5、PixeLGrPixelG1。 [0041] in equation (2), Pixel_G7, Pixel_G3, Pixel_G5, PixeLGrPixelG1. 分别代表目标像素G7以及相似邻近像素G3、G5、G8、G10的像素值。 G7 representing the target pixel and the neighboring pixels is similar to G3, G5, G8, G10 of the pixel values. 然而,此实施例仅是作为本发明范例说明之用,并非为本发明的限制,本领域技术人员可采用其它平均方法来得出目标像素的更 However, this embodiment of the present invention, merely as an example for illustrative purposes, not limiting the present invention, those skilled in the art may employ other methods to arrive at the target pixel an average of more

新像素值。 The new pixel value.

[0042] 参考图2C,图2C为本发明影像传感器200的另一实施例的示意图。 [0042] Referring to Figure 2C, FIG. 2C is a schematic diagram of another embodiment of the invention, the image sensor 200 of the embodiment. 图2C中,虚线圆圈为对应光学镜头的成像圈(Image Circle),由于镜头遮蔽校正增益(Lens ShadingCorrection Gain)会增加边角噪声(Corner Noise),所以会造成整个成像圈中噪声分布的不均匀。 FIG. 2C, the optical lens corresponding dashed circle image circle (Image Circle), because the lens shading correction gain (Lens ShadingCorrection Gain) increases the noise corner (Corner Noise), it will result in non-uniform noise distribution across the image circle . 举例来说,特定噪声临界值Vs可表示为中心噪声临界值与镜头遮蔽校正增益的乘积。 For example, a certain noise threshold Vs shading correction gain may be expressed as the product of a noise threshold and the center of the lens. 在大多数的情况下,噪声在影像边缘较影像中心来的明显。 In most cases, the noise in the image than the image center to the edge of the obvious. 因此,临界值设定电路40根据目标像素Pt在影像传感器200中的位置来设定特定噪声临界值Vs。 Thus, the threshold setting circuit 40 sets the noise threshold according to a particular target pixel position in the image Pt sensor 200 Vs. 以影像传感器200为例,当像素G7为目标像素Pt时,临界值设定电路40将特定噪声临界值Vs设定为第一位置值LI ;当像素B2、B5、R3、R4为目标像素Pt时,临界值设定电路40将特定噪声临界值Vs设定为不同于第一位置值LI的第二位置值L2(L2>L1);当像素G4、G5、G9、G1(I为目标像素Pt时,临界值设定电路40将特定噪声临界值Vs设定为不同于第二位置值L2的第三位置值L3 (L3>L2),以此类推。简单来说,当目标像素Pt位于影像传感器200中第一位置时,特定噪声临界值Vs被设为第一值;以及当目标像素Pt位于影像传感器200中第二位置时,其中该第一位置较该第二位置接近影像传感器200的中心位置,特定噪声临界值Vs被设为不同于该第一值的第二值,且该第一值小于该第二值。在以不同位置值设定完特定噪声临界值Vs后,噪声去除装置100的其它操作步骤皆与前述实施例类似,故详细说 In the image sensor 200 as an example, when the pixel as the target pixel Pt G7, threshold value setting circuit 40 to a certain noise threshold value Vs is set to a first position LI; when the pixel B2, B5, R3, R4 target pixel Pt , the threshold value setting circuit 40 to a certain noise threshold Vs is set different from the second position to the first position value LI value L2 (L2> L1); when the pixels G4, G5, G9, G1 (I target pixel when Pt, threshold value setting circuit 40 to a certain noise threshold value Vs is set to a second position value of a third position L2 L3 (L3> L2) is different from, and so on. Briefly, when the target pixel Pt is located when the image sensor 200 in a first position, a certain noise threshold is set to a first value Vs; and when the target pixel Pt in the image sensor 200 is located in a second position, wherein the first position near the image sensor 200 than the second position central location, particular noise threshold Vs is set to a second value different from the first value and the second value is smaller than the first value. after the completion of the set values ​​in different locations particular noise threshold value Vs, the noise other steps are removing apparatus 100 is similar to the previous embodiment, so detailed 明便在此省略。 Ming is omitted here.

[0043] 请注意,当光线强度减少时,影像传感器200的外部增益将会增加且同时造成噪声的增强。 [0043] Note that, when reduced light intensity, the image sensor 200 external gain will be increased while causing noise enhancement. 因此,根据本发明的另一实施例,临界值设定电路40会根据对应光线强度的外部增益值来设定特定噪声临界值Vs。 Thus, according to another embodiment of the invention, the threshold value setting circuit 40 can set the noise threshold in accordance with a particular gain value corresponding to the external light intensity Vs. 以影像传感器200为例,当光线强度对应第一亮度值时,特定噪声临界值Vs被设为第一光度值(Light Value) Vl ;以及当该光线强度对应不同于该第一亮度值的第二亮度值时,特定噪声临界值Vs被设为不同于第一光度值Vl的第二光度值V2。 In the image sensor 200 as an example, when the light intensity corresponding to a first luminance value, a certain noise threshold is set to a first photometric value Vs (Light Value) Vl; and when the first light intensity corresponding to the first luminance value is different from the when the two luminance values, particular noise threshold Vs is set to a second photometric value different from the first photometric value V2 of Vl. 在一实施例中,该第一亮度值大于该第二亮度值,则第一光度值Vl被设为小于第二光度值V2。 In one embodiment, the first luminance value is greater than the second luminance value, the first photometric value Vl is set smaller than the second photometric value V2. 在以不同亮度值设定完特定噪声临界值Vs后,噪声去除装置100的其它操作步骤皆与前述实施例类似,故详细说明便在此省略。 After completion of the luminance value set to a different threshold Vs of the particular noise, a noise removal apparatus 100 of the other steps are similar to the previous embodiment, so detailed description is omitted here.

[0044] 请注意,任何结合上述实施例中技术特征的设计变化均属本发明的范畴。 [0044] Note that any design change in binding technical features of the above embodiments belong to the scope of the invention. 举例来说,特定噪声临界值Vs可先根据目标像素的色彩成分作设定,再根据对应光线强度的外部增益来调整设定。 For example, a certain noise threshold Vs may be set according to the color components of the target pixel, and then adjusting the gain is set corresponding to the external light intensity. 除此之外,虽然上述实施例中去除噪声的操作皆应用于对应绿色色彩成分的目标像素(如像素&);然而,这些去除噪声的操作亦可应用于对应其它色彩成份(如红色或蓝色)的目标像素。 In addition, although the above-described embodiment, noise removal operations are applied to the target pixel (pixel &) corresponds to the green color component; however, these operations can also be applied for removing noise components corresponding to the other colors (e.g., red or blue color) of the target pixel.

[0045] 参考图3,图3为本发明应用于影像传感器的噪声去除方法的一实施例的流程图。 A flowchart of an embodiment [0045] Referring to FIG 3, FIG. 3 of the present invention, the image sensor is applied to a noise removal method. 简单来说,该噪声去除方法应用于图1中所示的噪声去除装置100,此外,假若可大致上获得相同的结果,步骤不一定要遵照图3所示的次序来依序执行。 Briefly, the noise applied to the noise removing method shown in FIG. 1 removal apparatus 100, furthermore, if the same result can be substantially obtained, are not required to sequentially perform steps in accordance with the order shown in FIG. 该噪声去除方法的步骤可简要归纳如下: The noise removing method step may be briefly summarized as follows:

[0046] 步骤301:比较目标像素的像素值与多个邻近像素的像素值,其中该目标像素与该多个邻近像素皆对应特定色彩成分。 [0046] Step 301: comparing the pixel value of the target pixel and the plurality of neighboring pixels, wherein the target pixel and the plurality of neighboring pixels are corresponding to a particular color component.

[0047] 步骤303:利用检查电路20来检查每一邻近像素的像素值与该目标像素的像素值的差值是否小于特定噪声临界值。 [0047] Step 303: 20 to check the difference of the pixel values ​​of neighboring pixel values ​​for each pixel and the target pixel is smaller than the noise threshold by using the specific check circuit.

[0048] 步骤305:当邻近像素的像素值与该目标像素的像素值的差值小于该特定噪声临界值时,将该邻近像素设为相似邻近像素。 [0048] Step 305: when the difference value of pixel values ​​of pixels adjacent to the pixel and the target pixel is smaller than the specified threshold noise, similar to the neighboring pixels adjacent to the pixel.

[0049] 步骤307:根据该目标像素的像素值以及每一相似邻近像素的像素值来更新该目标像素的像素值。 [0049] Step 307: The updated pixel value of the target pixel from the pixel values ​​of the target pixel values ​​for each pixel and the neighboring pixels is similar.

[0050] 请注意,本领域技术人员在阅读完本发明上述实施例之后,应可轻易了解该噪声去除方法中步骤301-307的运作,故于此不另赘述。 [0050] Note that one skilled in the art after reading the above-described embodiments of the present invention, can readily understand the operation of the noise removal process steps 301-307, so this is not described herein.

[0051] 综上所述,本发明的噪声去除装置100藉由设定适当的噪声临界值来有效的去除影像传感器中像素的噪声。 [0051] As described above, the noise removal apparatus 100 of the present invention by setting an appropriate threshold noise effectively remove the noise of the image sensor pixels. 本发明是设计应用于影像传感器,如此一来,噪声可在影像处理系统的前端就被移除,而避免后续影像处理运算时的噪声干扰。 The present invention is designed for the image sensor, this way, noise can be removed on the front end of the image processing system, and to avoid noise during the subsequent image processing operations. 本发明所提到的特定噪声临界值可依噪声的严重程度以及分布作调整,因而可使得噪声去除方法及装置的效能达到最佳化。 Particular noise threshold mentioned in the present invention to follow the distribution of the noise and the severity of adjustment, so that noise removal performance thus a method and apparatus to optimize.

[0052] 以上所述仅为本发明的优选实施例,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。 [0052] The above are only preferred embodiments of the present invention, all modifications and alterations made under this invention as claimed in claim, also belong to the scope of the present invention.

Claims (6)

  1. 1.一种应用于影像传感器的噪声去除方法,所述影像传感器包含特定彩色滤镜阵列以及像素阵列,所述像素阵列包含有多个像素,每一像素皆对应多个色彩成分的其中之一,所述噪声去除方法包含有: 比较目标像素的像素值与多个邻近像素的像素值,其中所述目标像素与所述多个邻近像素皆对应特定色彩成分; 针对所述多个邻近像素中的每一邻近像素: 利用检查电路来检查所述邻近像素的像素值与所述目标像素的像素值是否相似;以及当所述邻近像素的像素值与所述目标像素的像素值被认定为相似时,将所述邻近像素设为相似邻近像素;以及根据所述目标像素的像素值以及每一相似邻近像素的像素值来更新所述目标像素的像素值, 其中当所述邻近像素的像素值与所述目标像素的像素值的差值小于特定噪声临界值时,所述邻近像素的像素值与所述目 Wherein A is applied to one of image sensor noise removing method, the image sensor comprises a color filter array and a particular pixel array, the pixel array comprising a plurality of pixels, each corresponding to a plurality of color components are the noise removing method comprising: comparing the pixel value of the target pixel and the plurality of neighboring pixels, wherein the target pixel and the adjacent pixels are corresponding to the plurality of specific color component; said plurality of neighboring pixels for of each adjacent pixel: checking the check circuit using neighboring pixel values ​​of the target pixel values ​​are similar; and when the pixel values ​​of neighboring pixels of the target pixel value is determined to be similar when, similar to the neighboring pixels adjacent the pixel; and updating the pixel value of the target pixel according to the pixel value of the target pixel and each of adjacent pixels similar, wherein when the neighboring pixel values when the difference between the pixel value of the target pixel is smaller than a certain noise threshold, the neighboring pixel values ​​with the mesh 像素的像素值被认定为相似, 所述方法还包含有: 根据所述目标像素在所述影像传感器中的位置来设定所述特定噪声临界值; 其中当所述目标像素位于所述影像传感器中第一位置时,所述特定噪声临界值被设为第一值;以及当所述目标像素位于所述影像传感器中第二位置时,所述特定噪声临界值被设为不同于所述第一值的第二值,其中所述第二位置不同于所述第一位置, 其中所述第一位置较所述第二位置靠近所述影像传感器的中心位置,以及所述第一值小于所述第二值。 Pixel values ​​of pixels are identified to be similar, the method further comprising: setting the noise threshold according to the specific target pixel location in the image sensor; wherein when the target pixel is in the image sensor when in the first position, the certain noise threshold is set to a first value; and when the target pixel is located in a second position of the image sensor, the noise threshold is set to a specific different from said first a value of a second value, wherein said second position different from the first position, wherein said first position than the second position close to the center position of the image sensor, and the first value is less than the said second value.
  2. 2.如权利要求1所述的噪声去除方法,其中更新所述目标像素的像素值的步骤包含有: 针对所述目标像素的像素值以及每一相似邻近像素的像素值执行加权平均运算以产生平均值;以及根据所述平均值来更新所述目标像素的像素值。 2. The noise removing method of claim 1, wherein the step of updating the pixel value of the target pixel comprises: performing a weighted average calculation for the pixel value of the target pixel and each of adjacent pixels to produce a similar an average value; and a pixel value of the target pixel is updated according to the average value.
  3. 3.如权利要求2所述的噪声去除方法,其中更新所述目标像素的像素值的步骤还包含有: 根据所述目标像素与所述相似邻近像素之间的距离来设定每一相似邻近像素的权重值; 其中当所述目标像素与所述相似邻近像素的距离为第一距离值时,所述权重值被设为第一值;当所述目标像素与所述相似邻近像素的距离为不同于所述第一距离值的第二距离值时,所述权重值被设为不同于所述第一值的第二值;以及当所述第一距离值小于所述第二距离值时,所述第一值大于所述第二值。 Each adjacent set similar to the similar distance between adjacent pixels of the target pixel according to: as claimed in claim 2, the noise removing method, wherein the step of updating the pixel value of the target pixel further comprises weight of the pixel values ​​of the weight; wherein when the distance from the target pixel and the neighboring pixels is similar to the first distance value, the weight value is set to a first value; when the target pixel and the neighboring pixels from similar when the first distance value different from the second distance value, the weight value is set to a second value different from said first value; and when the first distance value is less than the second distance value when the first value is greater than the second value.
  4. 4.一种应用于影像传感器的噪声去除装置,所述影像传感器包含特定彩色滤镜阵列以及像素阵列,所述像素阵列包含有多个像素,每一像素皆对应多个色彩成分的其中之一,所述噪声去除装置包含有: 比较电路,用以比较目标像素的像素值与多个邻近像素的像素值,其中所述目标像素与所述多个邻近像素皆对应特定色彩成分; 检查电路,耦接于所述比较电路,其中针对所述多个邻近像素中每一邻近像素:所述检查电路检查所述邻近像素的像素值与所述目标像素的像素值是否相似,以及当所述邻近像素的像素值与所述目标像素的像素值被认定为相似时,所述检查电路将所述邻近像素设为相似邻近像素,其中当所述邻近像素的像素值与所述目标像素的像素值的差值小于特定噪声临界值时,所述邻近像素的像素值与所述目标像素的像素值被认定为相似;像 Wherein one of A noise removal device applied to the image sensor, said image sensor comprising the color filter array, and a particular pixel array, the pixel array comprising a plurality of pixels, each corresponding to a plurality of color components are the noise removal means comprises: a comparison circuit for comparing the pixel values ​​of the target pixel and the plurality of neighboring pixels, wherein the target pixel and the adjacent pixels are corresponding to the plurality of specific color component; check circuit, coupled to the comparator circuit, wherein said plurality of neighboring pixels for each adjacent pixel: the checking of the neighboring pixel values ​​of the pixel values ​​of the target to check whether the circuit is similar, and when the adjacent pixel value of the target pixel when the pixel is identified as similar to the check circuit is similar to the adjacent pixel adjacent to the pixel, wherein when the neighboring pixel values ​​of the pixel values ​​of the target when the difference is less than a certain noise threshold, the pixel values ​​of the neighboring pixels of the target pixel is identified to be similar; image 值更新电路,耦接于所述检查电路,用以根据所述目标像素的像素值以及每一相似邻近像素的像素值来更新所述目标像素的像素值;以及临界值设定电路,耦接于所述检查电路,并用以根据所述目标像素在所述影像传感器中的位置来设定所述特定噪声临界值,其中当所述目标像素位于所述影像传感器中第一位置时,所述特定噪声临界值被设为第一值,以及当所述目标像素位于所述影像传感器中第二位置时,所述特定噪声临界值被设为不同于所述第一值的第二值,其中所述第二位置不同于所述第一位置,其中所述第一位置较所述第二位置靠近所述影像传感器的中心位置,以及所述第一值小于所述第二值。 Value update circuit, coupled to the check circuit for updating the pixel value of the target pixel according to the pixel value of the target pixel and each of adjacent pixels like; and a threshold value setting circuit, coupled to the check circuit, and for setting the noise threshold according to the specific target pixel location in the image sensor, wherein when the target pixel of the image sensor positioned in a first position, the certain noise threshold is set to a first value, and when the target pixel of the image sensor positioned in a second position, the particular noise threshold is set to a second value different from said first value, wherein different from the first position to the second position, said first position wherein said second position relatively close to the center position of the image sensor, and the second value is smaller than the first value.
  5. 5.如权利要求4所述的噪声去除装置,其中所述像素值更新电路针对所述目标像素的像素值以及每一相似邻近像素的像素值执行加权平均运算以产生平均值,以及藉由所述平均值来更新所述目标像素的像素值。 4 5. The noise removal device according to claim, wherein the pixel value of the pixel value updating circuit for each of the target pixel and the neighboring pixel value is similar to performing weighted averaging operation to produce an average value, and by the updating said average pixel value of the target pixel.
  6. 6.如权利要求5所述的噪声去除装置,其中所述像素值更新电路还根据所述目标像素与所述相似邻近像素之间的距离来设定每一相似邻近像素的权重值;当所述目标像素与所述相似邻近像素的距离为第一距离值时,所述像素值更新电路将所述权重值设为第一值;当所述目标像素与所述相似邻近像素的距离为不同于所述第一距离值的第二距离值时,所述像素值更新电路将所述权重值设为不同于所述第一值的第二值;以及当所述第一距离值小于所述第二距离值时,所述第一值大于所述第二值。 5 6. The noise removal device according to claim, wherein the pixel value updating circuit is further set to a weight value of each pixel adjacent to the similarity of the target pixel in accordance with a similar distance between adjacent pixels; when the when the distance of said target pixel and neighboring pixels is similar to the first distance value, the pixel value updating circuit the weight value is set to a first value; when the distance to the target pixel and the neighboring pixels is different from similar to the first distance to the second distance value of the pixel value updating circuit the weight value is set to a second value different from the first value; and when the value is less than said first distance the second distance value, the first value is greater than the second value.
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