RESEARCH ON NONLINEAR DSP FOR IMAGE PROCESSING IN MULTIMEDIA COMMUNICATION

多媒体通信中图像处理非线性DSP的研究

• 批准号: 11650399
• 负责人: ARAKAWA Kaoru
• 金额: $ 0.83万
• 依托单位: MEIJI UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11650399/
• 关键词: multimedia; image processing; nonlinear digital filter; DSP; face image processing; noise reduction; nonlinear systems

New nonlinear digital signal processing methodologies, which are supposed to be highly demanded in our multimedia world, are proposed. For instance, in multimedia communication environment, we often transmit and show our face images on the displays of communication terminals. Here face images contain some undesirable rugged components such as wrinkles and spots on skin, which people wish to hide away, as well as noises and block artifacts entering from the communication network. In this research, a new nonlinear digital filter is proposed, which can remove such undesirable components quite effectively. Especially, this filer is powerful in showing the skin to be beautiful. In conventional ways, linear low-pass filters are used to remove such noisy components, but if we apply it, sharp edges are also removed as well as the noisy components and the image becomes blurred. Thus, a nonlinear method is adopted in this system. Moreover, in order to apply for real time processing of moving images on mobile terminals, the algorithm is kept simple and fast in realization.This system is shown to be effective for actual images in reducing noises and block artifacts, and also the undesirable ruggedness of skins. Moreover, in order to implement this system efficiently, a new idea of NDSP (nonlinear digital signal processor) is proposed, which is realized by adding simple nonlinear functions to usual DSP.This research can be also applied to the problem of sharpening blurred images, often taken with digital cameras. A new NDSP system, realized as a network of such NDSP's, is proposed. This system can sharpen the blurred images without amplifying small noisy components on images.

新的非线性数字信号处理方法被提出，这是我们的多媒体世界的高要求。例如，在多媒体通信环境中，我们经常在通信终端的显示器上传输和显示我们的人脸图像。这里的人脸图像包含一些不受欢迎的粗糙成分，如皮肤上的皱纹和斑点，人们希望隐藏这些成分，以及噪声和阻止从通信网络进入的伪影。在这项研究中，提出了一种新的非线性数字滤波器，可以非常有效地去除这些不希望看到的分量。特别是，这款修补器在显示皮肤美丽方面非常强大。在传统的方法中，线性低通滤波器被用来去除这些噪声分量，但如果我们应用它，尖锐的边缘也会被去除，噪声分量也会被去除，图像变得模糊。因此，该系统采用了一种非线性方法。此外，为了适应移动终端对运动图像的实时处理，该算法在实现上保持了简单和快速，对于实际图像，该系统在抑制噪声和块状伪影以及皮肤不希望看到的粗糙度方面是有效的。此外，为了有效地实现这一系统，提出了一种新的非线性数字信号处理器(NDSP)的思想，它是通过在通常的DSP(非线性数字信号处理器)中添加简单的非线性函数来实现的，该研究也适用于数码相机经常拍摄的模糊图像的锐化问题。提出了一种新的非数字信号处理器系统，该系统由多个数字信号处理器组成网络实现。该系统可以在不放大图像上的小噪声分量的情况下，对模糊图像进行锐化。

项目成果

Hiroaki Watabe, Kaoru Arakawa, and Yasuhiko Arakawa: "Nonlinear-Linear Cascaded Filter and Its Application to Image Processing"Proc. ISITA2000. 101-104 (2000)

Hiroaki Watabe、Kaoru Arakawa 和 Yasuhiko Arakawa：“非线性-线性级联滤波器及其在图像处理中的应用”Proc。

荒川 薫: "Fuzzy Rule-Based Edge Detection Using Multiscale Edge Images"IEICE Trans.Fundamentals. E83-A,2. 291-300 (2000)

Kaoru Arakawa：“使用多尺度边缘图像的基于模糊规则的边缘检测”IEICE Trans.Fundamentals，291-300 (2000)。

渡部宏明: "Nonlinear Filters for Multimedia Application"Proc.IEEE ICIP. 3. 174-178 (1999)

Hiroaki Watanabe：“多媒体应用的非线性滤波器”Proc.IEEE ICIP。3. 174-178 (1999)

Kaoru Arakawa: "Intelligent Signal Processing"Journal of IEICE. vol.83, no.10. 769-775 (2000)

荒川薰：《智能信号处理》IEICE 杂志。

荒川薫: "Fuzzy Rule-Based Edge Detection Using Multiscale Edge"IEICE Trans.Fundamentals. E83-A,2. 291-300 (2000)

Kaoru Arakawa：“使用多尺度边缘的基于模糊规则的边缘检测”IEICE Trans.Fundamentals，291-300 (2000)。