CASIA OpenIR  > 毕业生  > 硕士学位论文
数字图像复原相关问题研究
其他题名Research of Digital Image Restoration Related Problems
王晨
学位类型工学硕士
导师彭思龙
2010-12-07
学位授予单位中国科学院研究生院
学位授予地点中国科学院自动化研究所
学科专业模式识别与智能系统
关键词图像复原 去隔行 去隔行 压缩图像后处理 H.264图像压缩 Image Restoration Deinterlacing Super-resolution Deblocking H.264
中文摘要随着计算机技术的迅速发展,由于直观、形象、易懂和信息量大等特点,使得数字图像作为现代信息传递中的一个重要媒介,得到了极为广泛的应用。但实际图像获取系统的不完善所引起的图像降质,直接导致图像信息的丢失,妨碍人的视觉器官或系统传感器对所接收的图像进行理解或分析。图像复原的主要目的就是尽可能的去除获取数字图像过程中发生的图像降质,恢复和接近原来的真实图像。 本文针对现实生活常见的图像复原相关问题进行了研究,涉及到视频信号去隔行处理,压缩图像后处理,图像超分辨率等方面。在本文,主要的工作和贡献有: 1 。提出了模糊ELA算法和局部ELA算法。模糊ELA算法是基于模糊逻辑,对边缘方向进行了模糊的判断。而局部ELA 则采用一个局部区域内的最有可能的边缘方向来进行插值。这两种算法较之前算法的优势是在于利用了已有像素的区域的信息,使待插值像素可能得到较平滑的估计结果。 2 。提出了一种压缩域的图像超分辨率方法。压缩过程建模成加性的,空间相关的高斯噪声。而先验模性则采用近几年提出的专家场模型。为了进一步增强强边缘,全变分模型也用在了这些地方。 3。 提出两个方面的改进措施来加速联合滤波。他们是相互律和传递律。具体来说,参考块的相似块寻找被限制在窗口的后半部分和参考块的二阶邻域内。另外离散余弦变换和其逆变换也被放在了块内而不是组内,这样也减少了接近15/16的运算量。 4 。通过一个联系量化步长和噪声强度的公式,使用联合滤波的框架来处理H.264的帧内图像压缩方式产生的块效应了。整个算法只需要十多秒钟并且性能平均优于H.264内置去块滤波器0.3dB。 总的说来,本文在图像复原相关问题中应用和发展了一些新的技术,得到了较好的工程实践效果。 关键词: 图像复原,去隔行,压缩域图像超分辨率,压缩图像后处理,H.264图像压缩
英文摘要With the increasing development of computer technology, digital image is applied in a lot of areas as one of important media of modern information communication system because it is visualized, vivid, understandable and rich of information. However, image degradation resulting from imperfection of real digital image acquirement system leads to loss of image information, which hampers the understanding or analysis of human visual organ or system. The main goal of digital image restoration is to eliminate the degradation happened in the digital image acquirement system as much as possible and to restore and approach theoriginal real image. This thesis focus on research of several problems related to digital image restoration. Related areas are deinterlacing, supper-resolution and compression image post-processing. In this thesis, my main work and contributions are in the following. 1 .We propose fuzzy edge-based line averaging algorithm and local edge-basedline averaging algorithm. The former is based on fuzzy logic and determinethe edge direction in a fuzzy way. The latter judge the direction according to the local statistics. Compared with previous algorithm, proposed methods can obtain smooth estimation taking advantage of local area information. 2. We propose an image supper resolution algorithm in compression domain. The compression process is modeled as an additive and spacial related Gaussian noise and the image prior is currently popular Field of Expert model. To further enhance the edge area, total variation model is also use there. 3. We proposed two rules, mutuality rule and potential propagation rule of similar patches to accelerate collaborative filtering. To be specific, the search area of the reference patch is confined in the latter half and then in the second order neighborhood of reference block, which reduces most computation of this step. What'more, discrete cosine transform(DCT) and inverse DCT(IDCT) are proposed to be taken in blocks instead of in groups, which reduces computational load by 15/16. 4. We apply collaborative filtering to post-processing of compressed image. We deal with the compression noise in collaborative filtering frame by an empirical relation which links the noise level to quantization step. The whole algorithm only takes a dozen of seconds and outperforms H.264 intra-frame compression deblocking filtering about 0.3dB in PSNR. In a word, in this thesis, we developed some new technologies to digital i...
馆藏号XWLW1428
其他标识符200528014628053
语种中文
文献类型学位论文
条目标识符http://ir.ia.ac.cn/handle/173211/7549
专题毕业生_硕士学位论文
推荐引用方式
GB/T 7714
王晨. 数字图像复原相关问题研究[D]. 中国科学院自动化研究所. 中国科学院研究生院,2010.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
CASIA_20052801462805(3834KB) 暂不开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[王晨]的文章
百度学术
百度学术中相似的文章
[王晨]的文章
必应学术
必应学术中相似的文章
[王晨]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。