CN102263885B - An image noise reduction method sequence - Google Patents

An image noise reduction method sequence Download PDF

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CN102263885B
CN102263885B CN 201010184252 CN201010184252A CN102263885B CN 102263885 B CN102263885 B CN 102263885B CN 201010184252 CN201010184252 CN 201010184252 CN 201010184252 A CN201010184252 A CN 201010184252A CN 102263885 B CN102263885 B CN 102263885B
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noise
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于培宁
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于培宁
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Abstract

本发明涉及一种对图像序列中存在的图像噪声进行滤除的方法,在图像序列中,将组成各帧图像的各像素依照其在该帧图像中已知的位置和顺序排列,形成像素位序;将在图像序列中连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”;对于“像素值序列块”中存在于时间维度和/或时间序列的在图像中形成噪声的像素值,将连续数个像素值采用滤波方法进行降噪;将降噪后得到的“新像素值”依照降噪前的时间序列形成新“像素序列”进行降噪。 The present invention relates to a method of image noise present in the image sequence is filtered, the sequence of images, the composition of each pixel of each frame image according to its known position in the frame image and sequentially arranged, a pixel bit sequence; pixel value having the same pixel bit sequence number of consecutive frame images in the image sequence in series to form a "pixel value sequence block"; for "pixel value sequence block" present in the time dimension and / or the time series in the image forming a pixel value of noise, the number of consecutive pixel values ​​for noise reduction filtering method employed; "new pixel value" obtained after the noise reduction to form a new "pixel sequence" in accordance with time series noise reduction before noise reduction. 本发明提供了一种滤除存在于图像序列之时间维度的、排列于像素序列中的各相邻像素值之间的图像噪声降噪的方法,避免了现有技术只能对帧内数字图像进行降噪的不足。 The present invention provides a process image noise between adjacent pixels arranged in the pixel values ​​of noise reduction in a sequence present in the filtered image sequences in the time dimension, it avoids the prior art only for the digital image frame were insufficient noise reduction.

Description

一种图像序列的降噪方法 An image noise reduction method sequence

技术领域 FIELD

[0001]本发明涉及一种降噪方法,特别涉及一种图像序列的降噪方法。 [0001] The present invention relates to a noise reduction method, particularly relates to noise reduction method of an image sequence.

背景技术 Background technique

[0002]未经处理的原始图像存在着一定程度的噪声干扰,为了使图像更逼真,需要进行图像降噪。 [0002] unprocessed original image there is a degree of noise, in order to make more realistic images, image noise reduction is required. 如何合理消除大量的噪声,使图像保持原有的各类信息,并得以加强,又适合于人眼观察,一直是图像处理研究领域进行的主要课题之一。 How to eliminate a reasonable amount of noise, to maintain the original image information of all kinds, and to be strengthened, but also suitable for the human eye, it has been one of the main topics of image processing carried out field research.

[0003]噪声的存在造成了图像一定程度上的失真,如果噪音过多则会妨碍对图像的使用,此时必须对图像进行降噪处理。 [0003] The presence of noise on the image distortion caused by a certain degree, if too much noise would impede the use of the image, the image must now be noise reduction processing. 图像降噪过程中不可避免的造成图像细节损失,因此噪声抑制和细节保留是一对矛盾,各种降噪方法都要在二者之间选择平衡点,现有的降噪方法各有其缺点,选择何种方法降噪依赖于特定应用的需求和所用数据的特征。 Image denoising process will inevitably cause loss of image detail, and thus noise suppression is a contradiction detail preservation, a variety of noise reduction methods must choose a balance between the two, the conventional noise reduction methods have their drawbacks , which depend on the method of selecting the noise reduction requirements of the particular application and the characteristics of the data.

[0004]几种常见降噪技术: [0004] Several common noise reduction technology:

[0005] (I)邻域均值平均滤波器 [0005] (I) the average neighborhood average filter

[0006]用邻域平均法的均值滤波器非常适用于去除通过扫描得到的图像中的颗粒噪声。 [0006] with the neighborhood average mean filter is very suitable for removing particles obtained by scanning the image noise in. 领域平均法有力地抑制了噪声,同时也由于平均而引起了模糊现象,模糊程度与领域半径成正比。 FIELD averaging noise is suppressed effectively, but also due to the averaging causes blurring, blurring is proportional to the radius of the art.

[0007] (2)适应维纳滤波器 [0007] (2) adapt a Wiener filter

[0008]它能根据图像的局部方差来调整滤波器的输出,局部方差越大,滤波器的平滑作用越强。 [0008] It can be adjusted according to the local variance of the image output of the filter, the greater the local variance, the stronger the smoothing filter. 它的最终目标是使恢复图像f(x,y)与原始图像f(x,y)的均方误差e2 = E(f(xy)-f(x,y))2最小。 The ultimate aim is to make the restored image f (x, y) of the original image f (x, y) mean squared error e2 = E (f (xy) -f (x, y)) 2 is minimized. 该方法的滤波效果比均值滤波器效果要好,对保留图像的边缘和其他高频部分很有用,不过计算量较大。 Filtering effect of this method is better than the mean filter, for preserving image edges and other high frequency portion is useful, but the large amount of calculation. 维纳滤波器对具有白噪声的图像滤波效果最佳。 The optimum Wiener filter for filtering the image with white noise effect.

[0009] (3)中值滤波器 [0009] (3) median filter

[0010]它是一种常用的非线性平滑滤波器,其基本原理是把数字图像或数字序列中一点的值用该点的个领域中各点值的中值代换。 [0010] It is a common non-linear smoothing filter, the basic principle is the value of a digital image or a digital bit sequence with the median value of each point of the point areas of substitution. 其主要功能是,止周围象素灰度值的差比较大的像素改取与周围的像素值接近的值,从而可以消除孤立的噪声点,所以中值滤波对于滤除图像的椒盐噪声非常有效。 Its main function is to stop the peripheral pixels comparatively large difference in gray scale value of the pixel values ​​surrounding the pixel changes take close values, thereby eliminating an isolated point noise, the median filter is effective for image noise filtering salt and pepper . 中值滤波器可以做到既去除噪声又能保护图像的边缘,从而获得较满意的复原效果,而且,在实际运算过程中不需要图像的统计特性,这也带来不少方便,但对一些细节多,特别是点、线、尖顶细节较多的图像不宜采用中值滤波的方法。 The median filter can be done either remove noise and protect the edges of the image to obtain satisfactory recovery results, but does not require the statistical characteristics of the image in the actual operation process, it also brings a lot of convenience, but for some details more, especially points, lines, more detail spire image median filtering method should be employed.

[0011] (4)形态学噪声滤除器 [0011] (4) morphological noise filter

[0012]将开运算和闭运算结合起来可用来滤除噪声。 [0012] The opening operation and closing operation can be used to combine the filtered noise. 首先对有噪声图像进行开操作,可选择结构要素矩阵比噪声的尺寸大,因而开的结果是将背景上的噪声去除。 First, image noise on operation, select components of noise larger than the size of the matrix, the result is thus open on the background noise removal. 最后是对前一步得到的图像进行闭合操作,将图像上的噪声去掉。 Finally, the image was subjected to the previous step closing operation, on the image to remove noise. 根据此方法的特点可以知道,此方法适用的图像类型是图像中的对象尺寸都比较大,且没有细小的细节,对这种类型的图像除噪的效果会比较好。 According to the characteristics of this method may know, this method is suitable for the type of image is an image of the object size was relatively large, with no small details, this type of image noise removal effect will be better.

[0013] (5)小波降噪 [0013] (5) wavelet denoising

[0014]这种方法保留了大部分包含信号的小波系数,因此可以较好地保持图像细节。 [0014] This method retains most of the signal comprising wavelet coefficients, it is possible to better maintain image detail. 小波分析进行图像降噪主要有3个步骤:①对图像信号进行小波分解。 Wavelet Analysis image noise mainly three: ① From the image signal wavelet decomposition. ②对经过层次分解后的高频系数进行阈值量化。 ② high frequency coefficients through quantization threshold level of decomposition. ③利用二维小波重构图像信号。 ③ two-dimensional wavelet reconstruction image signal. 小波降噪方法的成功主要得益于小波变换具有如下特点:①低熵性,小波系数的稀疏分布,使得图像变换后的熵降低;②多分辨率,由于采用了多分辨率的方法,所以可以非常好地刻画信号的非平稳特征,如边缘、尖峰、断点等:③去相关性,因为小波变换可以对信号进行去相关,且噪声在变换后有白化趋势,所以小波域比时域更利于降噪;④选基灵活性,由于小波变换可以灵活选择变换基,从而对不同应用场合,对不同的研究对象,可以选用不同的小波母函数,以获得最佳的效果O Wavelet Denoising success mainly due to the wavelet transform process has the following characteristics: ① of low entropy, wavelet coefficients are sparsely distributed such that the entropy of the image conversion decreased; ② multi-resolution, the use of multi-resolution, so non-stationary characteristics may very well depict signal, such as the edges, spikes, breakpoints: ③ decorrelation, as wavelet transform can be related to the signal and noise in the conversion trend has whitened, so wavelet domain than the domain more conducive to noise; ④ selected from the group of flexibility, since the flexibility to choose the wavelet transform transform base, thereby different applications for different subjects can choose different mother wavelet to obtain the best results O

[0015]但上述降噪方法只能对数字视频图像帧内进行降噪,对视频图像帧间还没有应用。 [0015] However, the above method can only noise in the image frame of the digital video noise reduction, the video image frames not yet applied.

发明内容 SUMMARY

[0016]本发明的目的是为了解决上述技术缺陷,提供一种既能对数字视频图像帧内进行降噪,又能对视频图像帧间进行降噪的图像序列的降噪方法。 [0016] The object of the present invention to solve the above technical defects, there is provided a digital video image frame for both noise reduction, but the video image frames for noise reduction method of noise reduction of image sequences.

[0017]为达到上述目的,本发明的技术方案是: [0017] To achieve the above object, the technical solution of the present invention is:

[0018] 一种图像序列的降噪方法,包括如下步骤: [0018] A noise reduction method for an image sequence, comprising the steps of:

[0019]在图像序列中,将组成各帧图像的各像素依照其在帧中已知位置和顺序排列,形成像素位序; [0019] In the sequence of images, the composition of each frame image of its known position and sequentially arranged in the frame in accordance with each pixel, a pixel rank;

[0020]以像素数量为设定长度设定一 “滤波区间”; [0020] In a set number of pixels "filter section" is a set length;

[0021]将图像序列连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块; [0021] The sequence number of consecutive images in the frame image has a pixel value of the same pixel series to form a bit sequence "values ​​of a pixel block sequence;

[0022]在“像素值序列块”中,将需要被滤波处理的像素值和/或“滤波区间像素值序列±夬”,组成某一初位像素值和/或“滤波区间像素值序列块”,应用一种和/或多种滤噪方法,对该像素值和/或“滤波区间像素值序列块”进行处理,所得结果形成“新像素值”和/或“新像素值序列块”; [0022] In the "pixel value sequence block", the pixel value to be filtered and / or "filtered pixel value sequence interval ± Jue" process, the composition of a First bit pixel values ​​and / or "filtering block interval pixel value sequence "application of a and / or more noise filtering method, the pixel value and / or" filtering section pixel value sequence block "is processed, the results obtained form the" new pixel value "and / or" a new sequence of values ​​of a pixel block " ;

[0023]进一步的,对需要进行滤噪处理的其余像素值和/或“滤波区间像素值序列块”进行循环处理。 [0023] Further, the remaining pixel values ​​need to be processed and filter noise / or "filtering section pixel value sequence block" loop processing.

[0024]进一步的,在“像素值序列块”中,依次将选择作为噪声点像素的相邻后一位像素作为下一个噪声点像素,并取噪声点像素后连续两个像素点,对这三个像素值利用一种和/或多种滤波方法进行降噪。 [0024] Further, the "pixel value sequence block" sequentially selected as the pixels of an adjacent pixel noise points as a next pixel noise points, and taking two successive pixels after the noise pixel point, this three pixel values ​​using one and / or more noise filtering methods.

[0025]优选的,在“像素值序列块”中,将“像素值序列块”中的所有像素进行首阶降噪后,在同一“像素值序列块”中,进行二阶降噪。 After [0025] Preferably, the "pixel value sequence block" in all the pixels "pixel values ​​of the block sequence" in the first order noise is, in the same "pixel value sequence block", the second-order noise.

[0026]优选的,在“像素值序列块”中,所述的二阶降噪,在一阶降噪的基础上,重新将噪声点的预测值作为新的噪声点,即新的噪声点像素连同其相邻的后两个像素利用一种和/或多种滤波方法进行降噪。 [0026] Preferably, the "pixel value sequence block", the second order noise reduction, noise reduction on the basis of the first order, the value of the noise again predicted point as a new point of noise, i.e. noise new point together with the two pixels adjacent pixels after the noise reduction is performed using one and / or more filtering methods.

[0027]优选的,在“像素值序列块”中,采用多阶降噪方法。 [0027] Preferably, the "pixel value sequence block", the use of multi-stage noise reduction method.

[0028]优选的,在“像素值序列块”中,将某一初位像素与其后连续三个像素进行降噪,对这四个连续像素利用一种和/或多种滤波方法进行降噪,得到某一初位像素噪声点的预测值替代原噪声点的值。 [0028] Preferably, the "pixel value sequence block", the beginning of a pixel and its position after the three consecutive pixels of noise, these four consecutive pixels using one and / or more noise reduction filtering method to give a predicted value of the pixel position at the beginning point of the noise-point value to replace the original noise.

[0029]优选的,在“像素值序列块”中,对连续数个像素和/或像素值序列块采用利用一种和/或多种滤波方法进行降噪。 [0029] Preferably, the "pixel value sequence block", the number of consecutive pixels and / or block using the pixel values ​​of the sequence using one and / or more noise filtering methods.

[0030]采用上述技术方案,相对于现有技术的优点是: [0030] With the above technical solution, the advantages of the prior art are:

[0031]本发明提供一种既能对数字视频图像帧内进行降噪,又能对视频图像帧间进行降噪,克服现有技术中只能对帧内数字图像进行降噪的不足,并克服了传统的降噪方法流程复杂、计算量大、代价高、容易出现格式丢失的缺点,更提高了编码压缩率。 [0031] The present invention provides a digital video image frame for both noise reduction, but also for noise reduction of video image frames, the intra only overcome the disadvantages of a digital image noise reduction in the prior art, and to overcome the traditional method of noise reduction processes complex, computationally intensive, expensive and prone to loss of formatting disadvantage, but also improve the encoding compression rate.

附图说明 BRIEF DESCRIPTION

[0032]图1为本发明原理流程示意图; Principle schematic flow diagram [0032] Figure 1 of the present invention;

[0033]图2为本发明图像序列编码的不意图; [0033] FIG 2 is not intended to encode a sequence of images to the invention;

[0034]图3为本发明形成“像素值序列块”的示意图; [0034] FIG. 3 is a schematic "block pixel value sequence" of the present invention is formed;

[0035]图4为本发明采用均值平均滤波降噪的原理示意图。 [0035] FIG. 4 is a schematic mean average filter noise using the principle of the present invention.

具体实施方式 detailed description

[0036]下面结合具体实施例对本发明作进一步说明,但本发明并不限于以下实施例。 [0036] The following embodiments in conjunction with specific embodiments of the present invention is further illustrated, but the present invention is not limited to the following embodiments.

[0037]如图1所示的,一种图像序列的降噪方法,在图像序列中,将组成各帧图像的各像素依照其在帧中已知位置和顺序排列,形成像素位序; [0037] As shown in FIG. 1, the noise reduction method of a sequence of images in the image sequence, the composition of each frame image of each pixel in accordance with its known position and order in a frame, a pixel rank;

[0038]以像素数量为设定长度设定一 “滤波区间”; [0038] In a set number of pixels "filter section" is a set length;

[0039]将图像序列连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块; [0039] The sequence number of consecutive images in the frame image has a pixel value of the same pixel series to form a bit sequence "values ​​of a pixel block sequence;

[0040]在“像素值序列块”中,将需要被滤波处理的像素值和/或“滤波区间像素值序列±夬”,组成某一初位像素值和/或“滤波区间像素值序列块”,应用一种和/或多种滤噪方法,对该像素值和/或“滤波区间像素值序列块”进行处理,所得结果形成“新像素值”和/或“新像素值序列块”。 [0040] In the "pixel value sequence block", the pixel value to be filtered and / or "filtered pixel value sequence interval ± Jue" process, the composition of a First bit pixel values ​​and / or "filtering block interval pixel value sequence "application of a and / or more noise filtering method, the pixel value and / or" filtering section pixel value sequence block "is processed, the results obtained form the" new pixel value "and / or" a new sequence of values ​​of a pixel block " .

[0041]如图2所示的,一种图像序列的降噪方法,在图像序列中,将组成各帧图像的各像素位置依照其在该帧图像中已知的位置和顺序排列,形成像素位序。 [0041] As shown in FIG. 2, the noise reduction method of a sequence of images in the image sequence, the composition of each pixel position of the frame images are arranged in accordance with its known position and the frame image sequentially, a pixel rank.

[0042]具体为:在图像中已知的位置和顺序排列信息为:第一像素位置、第二像素位置、 [0042] Specifically: a known position in the image information and order: a first pixel position, a second pixel positions,

第三像素位置......至第η像素位置在图像序列中将每帧图像中的有效像素所处位置顺序通过坐标进行定位和表达,根据帧内图像像素位序信息为该图像序列中存在的已知的位序信息而成的位序信息,对目标结果示例的说明:设向量Z为示范图像序列的时间向量,同时为表达该图像序列的帧序向量,以每帧图像设有六个像素位置为例。 A third pixel position ...... η to the second position of the effective pixel location of the pixel in each frame of the image sequence in the sequence and is expressed by a coordinate positioning, according to the rank information of the intra-image pixel for the image sequence the bit sequence known bit sequence information obtained by the information present in the description of example results: set time vector Z is an exemplary vector image sequence, as well as the expression vector of the frame sequential image sequence, each frame is provided to there are six pixel locations, for example.

[0043]在 Z-1 帧: [0043] In the Z-1 Frame:

[0044]以示范图像序列中图像像素位置为乂 = 0,¥ = 0,2=1(定为像素位序胃乂1)4 = 0,¥=1,2 = 1(定为像素位序^0(2)4 = 0,¥ = 2,2=1(定为像素位序^0(3)4=1,¥ = 2,2=1(定为像素位序1乂4)4=1,¥=1,2 = 1(定为像素位序¥乂5)4=1,¥ = 0,2 = 1(定为像素位序胃父6)。 [0044] In the exemplary image sequence image pixel position qe = 0, ¥ = 0,2 = 1 (pixel bit sequence as gastric qe 1) 4 = 0, ¥ = 1,2 = 1 (pixel bit sequence as ^ 0 (2) 4 = 0, ¥ = 2,2 = 1 (pixel bit sequence as ^ 0 (3) 4 = 1, ¥ = 2,2 = 1 (pixel bit sequence as a qe 4) 4 = 1, ¥ = 1,2 = 1 (pixel bit sequence as ¥ qe 5) 4 = 1, ¥ = 0,2 = 1 (pixel bit sequence as the parent gastric 6).

[0045]在 Ζ-2 帧: [0045] In Ζ-2 Frames:

[0046]以示范图像序列中图像像素位置为Χ = 0,Υ = 0,Ζ = 2(定为像素位序WX1);X = 0,Y=1,2 = 2(定为像素位序取2)4 = 0,¥ = 2,2 = 2(定为像素位序取3)4=1,¥ = 2,2 = 2(定为像素位序1乂4)4=1,¥=1,2 = 2(定为像素位序¥乂5)4=1,¥ = 0,2 = 2(定为像素位序胃父6)。 [0046] In the exemplary image sequence image pixel position Χ = 0, Υ = 0, Ζ = 2 (pixels set to rank WX1); X = 0, Y = 1,2 = 2 (pixels set to take the bit sequence 2) 4 = 0, ¥ = 2,2 = 2 (taken as a pixel rank 3) 4 = 1, ¥ = 2,2 = 2 (pixels set to 1 the bit sequence qe 4) 4 = 1, ¥ = 1 2 = 2 (pixels set to rank ¥ qe 5) 4 = 1, ¥ = 0,2 = 2 (pixel bit sequence as the parent gastric 6).

[0047]…… [0047] ......

[0048]在 ZN 帧: [0048] In the frame ZN:

[0049]以示范图像序列中图像像素位置为Χ = 0,Υ = 0,Ζ = Ν(定为像素位序WX1);X = 0,Y=1,2 = _定为像素位序取2)4 = 0,¥ = 2,2 = _定为像素位序取3)4=1,¥ = 2,2 = _定为像素位序1乂4)4=1,¥=1,2 =叭定为像素位序¥乂5)4=1,¥ = 0,2 =叭定为像素位序胃父6)。 [0049] In the exemplary image sequence image pixel position Χ = 0, Υ = 0, Ζ = Ν (pixel bit sequence as WX1); X = 0, Y = 1,2 = _ taken as a pixel rank 2 ) 4 = 0, ¥ = 2,2 = _ taken as a pixel rank 3) 4 = 1, ¥ = 2,2 = _ 1 sequence as a pixel bit qe 4) 4 = 1, ¥ = 1,2 = A pair of bits as the pixel order ¥ qe 5) 4 = 1, ¥ = 0,2 = pixel pair of the bit sequence as the parent gastric 6).

[0050]如图3所示的,一种图像序列的降噪方法,将在图像序列中连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”。 The pixel value [0050] As shown, the noise reduction method of an image sequence, a bit sequence having the same number of pixels in three consecutive frame images in the image sequence shown in series to form a "sequence value of a pixel block."

[0051]具体为:在图像序列中,将第一像素位置、第二像素位置、第三像素位置至第η像素位置在每帧图像中的有效像素所处位置顺序通过坐标进行定位和表达,根据帧内图像像素位序信息为该图像序列中存在的已知的位序信息而成的位序信息,对目标结果示例的说明,设向量Z为不范图像序列的时间向量,同时为表达该图像序列的帧序向量,以每帧图像设有六个像素位置为例,像素位序为WXl、WX2、WX 3、WX4、WX5、WX6。 [0051] Specifically: the sequence of images, the position of a first pixel, a second pixel position, a third pixel position to the second position of the effective pixel η pixel location of each frame in order to locate and image expressed by the coordinates, the information bit sequence known bit sequence intra-image pixel position information and timing information for the image from the sequence present in the described example the results of the target, provided Z is not a vector norm time vector image sequence, as well as the expression of vector of the frame sequential image sequence to each frame has six pixel positions, for example, the bit sequence of the pixel WXl, WX2, WX 3, WX4, WX5, WX6.

[0052]在图像序列中,将像素位序为WXl的连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”,所述的“像素值序列块”包括I帧至N帧; [0052] In the sequence of images, the pixel values ​​of the pixel having the same rank order for the pixel bit number of consecutive frame images are formed in series in WXl "pixel value sequence block", the "pixel value of the block sequence" includes an I frame to the N frames;

[0053]在图像序列中,将像素位序为WX2的连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”;所述的“像素值序列块”包括I帧至N帧; [0053] In the image sequence, the bit sequence of the pixel image WX2 number of consecutive frames having the same pixel position in the pixel value of the series order to form a "pixel value sequence block"; the "pixel values ​​of the block sequence" includes an I frame to the N frames;

[0054]在图像序列中,将像素位序为WX3的连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”;所述的“像素值序列块”包括I帧至N帧。 [0054] In the sequence of images, the pixel number of consecutive bit sequence of the frame image having the same pixel WX3 rank pixel value of the series to form a "pixel value sequence block"; the "pixel values ​​of the block sequence" includes an I frame to the N frames.

[0055]…… [0055] ......

[0056]在图像序列中,将像素位序为WX4的连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”,所述的“像素值序列块”包括I帧至N帧。 [0056] In the sequence of images, the pixel number of consecutive bit sequence of the frame image having the same pixel WX4 rank pixel value of the series to form a "pixel value sequence block", the "pixel value of the block sequence" includes an I frame to the N frames.

[0057]如图4所示的,一种图像序列的降噪方法,在图像序列中,任选一“像素值序列块”,如图所示,在WXl像素位序上的“像素值序列块”中,将第I位帧像素定为某一初位像素,将第I位帧像像素相邻的后两个像素:第2位帧像素和第3位帧像素,定位其后连续两个像素作为两个邻域的点,由第I位帧像素值、第2位帧像素值和第3位帧像素值进行均值平均滤波方法降噪,这三个像素值分别为20、30和10,由这三个连续像素利用均值平均滤波方法,得到第I位帧像素噪声点的预测值20替代原噪声点的值20; [0057] shown in Figure 4, the noise reduction method of an image sequence, the image sequence, optionally a "pixel value of the block sequence", as shown, "a pixel value in the sequence of pixel rank of WXl blocks ", the bit I frame pixel as a beginning of the bit pixel, two pixels after the I-frame bit image pixels adjacent to: 2nd bit frame and bit pixels 3 pixels, followed by two consecutive positioning two pixel neighborhood as a point, the I-frame bit pixel value, the pixel value of the frame 2 and the bit 3 mean average pixel values ​​for noise reduction filtering method, three pixels values ​​20, 30 and 10, the average of the three consecutive pixels using average filtering method, to obtain a prediction value bit I frame pixel noise point 20 of the original noise replacement value of 20 points;

[0058]将第2位帧像素定为某一初位像素,将第2位帧像像素相邻的后两个像素:第3位帧像素和第4位帧像素,定位其后连续两个像素作为两个邻域的点,由第2位帧像素值、第3位帧像素值和第4位帧像素值进行均值平均滤波方法降噪,这三个像素值分别为30、10和20,由这三个连续像素利用均值平均滤波方法,得到第2位帧像素噪声点的预测值20替代原噪声点的值30; [0058] The second frame 2 pixels as a First bit pixel, two pixels of two frames after the image pixels adjacent to: Bit 3 and bit pixels 4 pixels, positioned thereafter two consecutive two pixel neighborhood as a point, from the pixel values ​​of two frames, the pixel values ​​of bit 3 and bit 4 mean average pixel values ​​for noise reduction filtering method, the three pixel values ​​of 30, 10 and 20 by using the three consecutive pixels mean average filtering method, to obtain a first two-point frame pixel noise prediction value of the original value of 30 20 Alternatively the noise point;

[0059]…… [0059] ......

[0060]将第11位帧像素定为某一初位像素,将第11位帧像像素相邻的后两个像素:第12位帧像素和第13位帧像素,定位其后连续两个像素作为两个邻域的点,由第11位帧像素值、第12位帧像素值和第13位帧像素值进行均值平均滤波方法降噪,这三个像素值分别为40、40和10,由这三个连续像素利用均值平均滤波方法,得到第11位帧像素噪声点的预测值30替代原噪声点的值40。 [0060] The frame 11 of the pixel as a beginning of the bit pixel, two pixels after the first frame 11 adjacent image pixels: the pixel of frame 12 and frame 13 of a pixel, positioned thereafter two consecutive two pixel neighborhood as a point, from the pixel value of the frame 11, the frame 12 and the pixel value of the pixel values ​​of frame 13 mean average noise filtering method, values ​​of three pixels 40, 40 and 10 by using the three consecutive pixels mean average filtering method, to obtain 11-bit frame pixel noise prediction value of the point value of the original noise alternatively 30 points 40.

Claims (4)

  1. 1.一种图像序列的降噪方法,其特征在于,包括如下步骤: 在图像序列中,将组成各帧图像的各像素依照其在帧中已知位置和顺序排列,形成像素位序;以像素数量为设定长度设定一“滤波区间”; 将图像序列连续数帧图像中具有相同像素位序的像素值串联形成“像素值序列块”; 在“像素值序列块”中,将需要被滤波处理的像素值组成“滤波区间像素值序列块”,应用一种和/或多种滤噪方法,对需要被滤波处理的像素值和/或“滤波区间像素值序列块”进行处理,所得结果形成“新像素值”和/或“新像素值序列块”, 在“像素值序列块”中,选择作为噪声点像素的像素点,并取噪声点像素后连续两个像素点,对这三个像素值利用一种和/或多种滤波方法进行降噪;依次将选择作为噪声点像素的相邻后一位像素作为下一个噪声点像素,并取噪声点像 A noise reduction method for an image sequence, characterized by comprising the steps of: in an image sequence, the composition of its known position and arrangement order of each image frame in accordance with each pixel in the frame, a pixel rank; to the number of pixels set as the set length of a "filter section"; number of continuous sequence of images in the frame image has a pixel value of the same pixel series to form a bit sequence "pixel value sequence block"; in "pixel value sequence block", the required is composed of a pixel value filtering process "filtering section pixel value sequence block" aPPLIED one and / or more filtering method based on the pixel value to be filtered and / or "filtering section pixel value sequence block" processing, the results form a "new pixel value" and / or "a new sequence of values ​​of a pixel block", the "pixel value of the block sequence" select pixel points as noise pixels, and after taking two successive pixels noise dot pixels, for values ​​of three pixels using one and / or more noise filtering methods; sequentially selecting the pixel as the neighboring noise pixels as one pixel at a pixel noise points, and taking the point image noise 后连续两个像素点,对这三个像素值利用一种和/或多种滤波方法进行降噪, 在“像素值序列块”中,将“像素值序列块”中的所有像素进行首阶降噪后,在同一“像素值序列块”中,进行二阶降噪, 在“像素值序列块”中,所述的二阶降噪,在一阶降噪的基础上,重新将噪声点的预测值作为新的噪声点,即新的噪声点像素连同其相邻的后两个像素利用一种和/或多种滤波方法进行降噪。 After two consecutive pixels, using one of these three pixel values ​​and / or more noise reduction filtering method, the "pixel value sequence block" in all the pixels "pixel values ​​of the block sequence" is first order in after noise reduction, in the same "pixel value sequence block", the second-order noise, the "pixel value sequence block", the second order noise, based on a noise reduction step, noise points re predicted noise value as a new point, i.e., a new noise pixel points together with the two adjacent pixels after the noise reduction is performed using one and / or more filtering methods.
  2. 2.根据权利要求1所述的图像序列的降噪方法,其特征在于,在“像素值序列块”中,采用多阶降噪方法。 2. The noise reduction method according to an image sequence according to claim, characterized in that, in the "pixel value sequence block", the use of multi-stage noise reduction method.
  3. 3.根据权利要求1或2所述的图像序列的降噪方法,其特征在于,在“像素值序列块”中,将某一初位像素与其后连续三个像素进行降噪,对这四个连续像素利用一种和/或多种滤波方法进行降噪,得到某一初位像素噪声点的预测值替代原噪声点的值。 3. The noise reduction method according to claim 12 or claim image sequence, wherein, in the "pixel value sequence block", the beginning of a pixel and its position after the three consecutive pixels of noise, these four contiguous pixels using one and / or more noise reduction filtering method, to obtain a prediction value of a First-bit pixel value of the original noise points alternative noise pixels.
  4. 4.根据权利要求1所述的图像序列的降噪方法,其特征在于,在“像素值序列块”中,对连续数个像素和/或像素值序列块采用利用一种和/或多种滤波方法进行降噪。 The noise reduction method according to claim 1 sequence of images, characterized in that "the pixel value of the sequence block", the number of consecutive pixels and / or block using the pixel values ​​of the sequence using one and / or more noise reduction filtering method.
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