基于pocs算法的圖像超分辨率重建

1、基于pocs算法的圖像超分辨率重建wanfang datawanfang datawanfang dataimage super resolution reconstruction based on pocs algorithmauthors: li chaofeng, liu hui, zhou feng, li chao feng, liu hui, zhou fengschool of infonnation engineering and automation, kunminguniversity of science and technology, yunnan, kunming,

2、650051journal of:microcomputer and applicationenglish of microcomputer & its applicationsvolume (period):2010, 29 (3)cited times: 0 timesreferences (8 articles)1. tsai r y. huang t s multiframe image restoration and registration 1984 (1) 2.schultz r r.stevenson r l improved definition video fram

3、eenhancement 19953.schultz r r. stevenson r l extraction of high-resolution frames from video sequences 1996 (6)4. irani m. peleg s improving resolution by image registration 1991 (3)5. stark h. oskoui p high resolution image recovery from image-plane arrays, using convex projections1989 (6)6. patti

4、 j. sezan m i. tekalp a m high-resolution image reconstruction from a low-resolution imagesequence in the presenee of time-varying motion blur 19947. ozkan m k. tekalp a m. sezan m i pocs-based restoration of space-varying blurred images 1994 (4)8. wang hongmei li yanjun. the image of stationary wav

5、elet transform denoising method j infrared technology based on 2006 zhang ke (7)similar literature (10 articles)1. yang litao periodicals lu lin ji fan zhengyu. based on the video image super-resolution reconstruction algorithm of improved pocs 一 2010,26 micro computer applications (7)super resoluti

6、on tech no logy is to reconstruct a high resolution image by fusing a number of blurred, deformed and aliasing low resolution images this paper proposes a pocs based super-resolution algorithm for video imagesthe construction method.pocs is a basic method in image super-resoluti on reconstruct io n.

7、 based on the traditional pocs algorithm, this paper improves the estimation of the initial high resolution image in the reconstruction process, and uses the double 3 interpolationthe initial estimation is obtained by the value method; the edge detection and the modification of the psf function are

8、used to solve the problem of edge oscillation in the reconstruction process the experimental results show that the reconstructed high resolution image is feasiblethe details of the image are well preserved while improving resolutioncolor image resolution multi frame image registration algorithm and

9、pocs combined enhancement method based on 2. degree thesis li han 2009digital images have been widely used in various fields in some applications, the degradation of the resolution of the image signal by the imaging system can not satisfy the requirement of acquiring the detail information of the im

10、aging target staythere are many factors that cause resolution degradation in the process of image acquisition. the optical blur of imaging system makes the details of the image lost; if the system uses a low density ccd/cmos sampling matrixfor the color image, the imaging system uses the spectroscop

11、e array to sample the three color components, so that each color component is notresolution loss at the same degree. the performance of the imaging system is limited by hardware conditions, and it is not easy to improve therefore, with the wide application of digital images, how to acquire and recon

12、struct imaging under the existing hardware conditionsthe problem of target detail information has been extensively studied. the goal of this paper is to establish a complete and effective method for reconstructing the detail information of observation images by means of super-resolution signal proce

13、ssing technology.<br>super resolution image reconstruction technology is the use of multiple frames to observe the relative motion relationship between images,the scene information they retain is fused into a single frame high resolution image, and the blurred and noisy letters in the image ar

14、e removedsignal processing technology is a signal processing method with time efficiency in exchange for spatial resolution. brfirstly, the imaging process of the image is studied, and the process is modeled a mathematical equation describing the relationship between the observed image and the origi

15、nal image signal is established by the mode 1. on this basis, the article makes a distinction between cause and effectthe imaging factors of rate degradation are discussed, and the problems that need to be solved are analyzed, and the super-resolution reconstruction process is divided into image reg

16、istration process and reconstruction process respectively. <br>image registration refers to the process of determining the relative position relations of multiple observation images high precision image registration is the basis for accurate reconstruction of image detail information. in the a

17、spect of image registration, this paper introduces in detailin this paper, the theory of image registration in frequency domain is described, and the registration method of aliasing image is expounded the experimental results show that the frequency domain method is not enough in registration accura

18、cy. in view of this shortcoming, the article puts forwardthe method of joint registration of multi frame images improves the accuracy of frequency domain registration method, and effectively solves the high precision requirement of image registration in super-resolution reconstruction processbrin th

19、e aspect of image resolution reconstruction, this paper dnalyzes the loss of color resolution caused by spatial resolution loss and color plane fractional sampling in color imaging on the issue of restoring color resolution, the textthis paper introduces and implements a method based on convex set p

20、rojection (pocs) theory to recover the color plane resolution by using the correlation of different color components on the issue of restoring spatial resolution, this paper studies the basis of the spatial resolutionthe reconstruct!on method of convex set projection (pocs) theory is analyzed. the r

21、eason of edge oscillation is analyzed, and the edge oscillation effect is overcome by adding the smoothness constraint condition of the imagebr>based on the above work, the color resolution of the multi frame color observation image is firstly repaired, and then the image registration of multiple

22、 restoration results is carried out finally, the image is reconstructed according to the restored image and registration resultsspatial resolution. experiments show that it is an effective method to recover the detail information of the imaging target3. dissertation digital image super resolution te

23、chnology research 2004this paper mainly focuses on the improvement of the super-resolution algorithm from three aspects: the generalization of the algorithm, the improvement of the imaging model and the super resolution evaluation criterion. the first part of this paper briefly introduces the super-

24、resolution technologythe development of the technology is pointed out, and its application in military and civil fields is pointed out. the main methods of this technology are reviewed in detai 1. the difficulties and the future development direction of this technology are pointed outin the algorith

25、m research, this paper focuses on the improvement of the traditional pocs algorithm, and proposes a generalized pocs algorithm this algorithm introduces the statistical properties of noise into the limit condition of projection iteration, which makes the proposed algorithmwide pocs algorithm has a g

26、ood ability to remove noise at present, most of the super resolution restoration is aimed at spatial invariant fuzzy quality reduction, and the actual degradation process is mostly the existence of a variety of fuzzy degradation, orin this paper, the generalized pocs algorithm is designed for each p

27、ixel in different fuzzy situations, that is, the restoration of spatial diversity degradation is the focus of this algorithmthe experimental results show that the proposed pocs algorithm is superior to wiener filtering in eliminating the spatial diversity degradation, and is superior to bilinear int

28、erpolation in the super-resolution reconstruction from multiple images to single imagesin this paper, the shortcomings of the original harris theory are pointed out, and the windowing process is creatively introduced to improve the imaging model of digital imagesthe spectrum of the signal is analyze

29、d, and it is pointed out that the aliasing of the digital image spectrum is another major factor affecting the resolution of the digital image except the limiting diffraction frequency,and on the basis of aliasing, the numbers are given in an exploratory waythe definition of image resolution is also

30、 studied in this paper by comparing the discrete fu liye coefficients of different resolution images in the same scene to verify the aliasing of the digital imagein order to solve the problem of the evaluation criterion of super-resolution reconstruction, this paper proposes a criterion of spectrum

31、similarity degree, namely spectral deviation, for the discrete fu liye coefficients of different resolution images in the same scenefor the new evaluation criterion, the bilinear interpolation and the extended pocs algorithm are compared and tested the results show that the spectral deviation can ba

32、sically reconstruct the super-resolution results of different algorithmsmake reasonable evaluationresearch on super resolution reconstruction method of yu jing crystal sequence image of 4. dissertation 2007in this paper, the most commonly used pocs algorithm and map estimation algorithm in spatial d

33、omain are used for super-resolution image reconstruction. pocs algorithm is a set theory reconstruction method in this paper, according to the principle of pocs algorithm, the algorithm is givenin this paper, a simulated correction iterative super resolution image reconstruction method and its imple

34、mentation steps are proposed, and a new method is proposed to reduce the image edge quality caused by the high resolution images reconstructed by standard pocs algorithmimproved method in this method, the psf of the center edge pixels is multiplied with an exponential weight function, so that the mo

35、dified psf coefficients are reduced along the orthogonal direction of the edges experimental results show that such modifications are effectivethe quality of the reconstructed image is obviously improved by keeping the edge feature moreover, the computational complexity of edge detection is relative

36、ly smal1.research and implementation of map super-resolution image reconstruction algorithm, and for the standard map estimation algorithm of large computational complexity, put forward two improvements the first step is to determine the step size using inexact one-dimensional searchit avoids the co

37、mputation of hesse matrix with large computational complexity the second point is that the increment of the objective function is directly calculated when the gradient is calculated, and the redundant computation of the function value is avoided the experimental results show that such improvements a

38、re in useto a great extent, the rate of map super-resolution image reconstruction is improved, and the convergence of the algorithm is guaranteed, and the reconstruction effect is almost unchanged.motion estimation is the process of estimating the two-dimensional motion vector field of a scene or a

39、target according to the time related information in the video sequence. motion estimation in super-resolution image reconstruction is the role of all low resolutionthe pixel of the observation frame is mapped to the corresponding position of the reference frame, and the details of the image are reco

40、vered accurate motion estimation is the key to super-resolution image reconstruction. because of the simplicity and effectiveness of block motion estimation, it has been proved that block motion estimation is a simple and effective method for block motion estimationit has become the most widely used

41、 method of motion estimation. a fast block matching algorithm combined with spatial prediction and cds is designed if the motion of the current block is similar to that of the adjacent block, the motionvectors of adjacent blocks are selectedthe least matching error of the current block is taken as t

42、he prediction estimate of the current block motion vector, and then the block matching error of the search point on the sdsp is compared with the predicted value as the center if the motion between the current block and the adjacent block is notthe cds algorithm is used to search the motion vectors

43、from the origin. experimental results show that the proposed algorithm takes into account both the search speed and the matching accuracy, and is more efficient than n3ss, ds, hexbs, cds and cdhs algorithmsgood for super-resolution image reconstruction.5. degree thesis xiao jiexiong super resolution

44、 image reconstruct!on based on pocs algorithm 2009in many applications, people always need to get higher quality images but in the actual imaging process, due to the imaging system, the external environment and imaging technology and many other factors, resulting inimage degradation makes the image

45、we obtain is not idea 1. in practical applications, the requirement of image quality is getting higher and higher, so how to recover the original image effectively or recover itthe image we expect becomes an important problem in image processingin the process of image formation, digital image is deg

46、raded by motion blur, point spread blur, un der samp ling and noise byin order to improve the quality of degraded degraded images and improve the resolution, the super-resolution reconstruction processing technique is used to process the degraded images. super resolution image reconstruction refers

47、to a series of images that contain different parts of each imagea method for processing low resolution images of similar segments into a high resolution image by a certain method for certain digital imaging systems, high quality images can be obtained by super-resolution image reconstructionit does

48、not need to improve the hardware performance of the system, so it can be widely used in various fields of image processingsuper resolution image reconstruction algorithms can be divided into two categories, namely frequency domain algorithm and spatial domain algorithm frequency domain algorithm is

49、an early super-resolution reconstruction algorithm, which can only deal with the global displacement image sequencethe spatial domain algorithm uses the general observation model, which has better adaptability and reconstruction effect, and is the main research direction at present pocs algorithm us

50、es the principle of projection to convex set for image reconstruction, algorithmintuitive dnd effective, is one of the most promising super-resolution reconstruction algorithmsin this paper, a single frame low resolution image and a sequence of low resolution image super-resolution reconstruction al

51、gorithm are studied in the single zhengchao resolution reconstruction algorithm, first introduced the traditional interpolation algorithm, thenthis paper mainly studies the super-resolution reconstruction method based on wavelet transform according to the characteristics of image wavelet transform a

52、nd interpolation processing, this paper proposes an image super-resolution method combining wavelet decomposition and pde interpolation algorithmrate reconstruction method the experimental results show that the pde interpolation wavelet method is effective and feasible for improving the image resolu

53、tionin the sequential image super-resolution reconstruction algorithm, the pocs method is studied in detail, and the factors that affect the recovery result (such as motion estimation, number of cycles, threshold size, etc) are studiedanalysiso aiming at the phenomenon that the quality of image edge

54、 is decreased in the high resolution image reconstructed by the conventional pocs algorithm, the reason of edge blurring is analyzed, and the algorithm is improvedthe edge preserving pocs algorithm uses gradient based interpolation algorithm to obtain the initidl value of pocs the experimental resul

55、ts show that the proposed method can achieve better visual effect and improve the edge quality of the reconstructed image 6. journal papers liu tao. liu tao hybrid map-pocs algorithm in compressed video applications - foreign electronic measurement technology 2008, 27 (3)the super resolution algorit

56、hm of compressed video is affected by video compression algorithm, which is more complex than the general sequence image super-resolution algorithm. in this paper, the constraint set which removes the block effect is used in the constraint condition of pocsthe operation of block effect is incorporat

57、ed into the framework of hybrid map-pocs algorithm, and it is applied to the super-resolution reconstruction of real compressed video. the simulation results show that the algorithm used in this paper is at lower bit rate compressionthe component has better reconstruction effectresearch on super res

58、olution reconstruction technology of liu tao sequence image of 7. dissertation 2008image super-resolution reconstruction technology has been a research hotspot in the field of image processing in recent years, and it has important significance in theory and practical application. the motion estimati

59、on dnd information processing of image sequences is carried out by this methodit is an economical and easy method to improve the resolution of images, such as information fusion, removing blur and removing noise, and recovering more detailed and high resolution images from multiple images of low resolution sequenceson the basis of analyzing the principle of image super resolu