Embedding and a priori wavelet-adaptivity for Dirichlet problems

نویسندگان

  • ANDREAS RIEDER
  • ANDRÉAS RIEDER
  • A. RIEDER
چکیده

The accuracy of the domain embedding method from [A. Rieder, ModéL Math. Anal Numér. 32 (1998) 405-431] for the solution of Dirichlet problems suffers under a coarse boundary approximation. To overcome this drawback the method is furnished with an a priori (static) strategy for an adaptive approximation space refinement near the boundary. This is done by select ing suitable wavelet subspaces. Error estimâtes and numerical experiments validate the proposed adaptive scheme. In contrast to similar, but rather theoretical, concepts already described in the literature our approach combines a high generality with an easy-to-implement algorithm. Mathematics Subject Classification. 65N30, 65N50. Received: March 9, 2000. Revised: July 31, 2000.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Error Estimates for Linear PDEs Solved by Wavelet Based Taylor-Galerkin Schemes

In this paper, we develop a priori and a posteriori error estimates for wavelet-Taylor– Galerkin schemes introduced in Refs. 6 and 7 (particularly wavelet Taylor–Galerkin scheme based on Crank–Nicolson time stepping). We proceed in two steps. In the first step, we construct the priori estimates for the fully discrete problem. In the second step, we construct error indicators for posteriori esti...

متن کامل

Intelligent scalable image watermarking robust against progressive DWT-based compression using genetic algorithms

Image watermarking refers to the process of embedding an authentication message, called watermark, into the host image to uniquely identify the ownership. In this paper a novel, intelligent, scalable, robust wavelet-based watermarking approach is proposed. The proposed approach employs a genetic algorithm to find nearly optimal positions to insert watermark. The embedding positions coded as chr...

متن کامل

Singular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images

In this paper, a steganography technique for JPEG2000 compressed images using singular value decomposition in wavelet transform domain is proposed. In this technique, DWT is applied on the cover image to get wavelet coefficients and SVD is applied on these wavelet coefficients to get the singular values. Then secret data is embedded into these singular values using scaling factor. Different com...

متن کامل

Scalable Wavelet-based Coding of Color Images

In this paper, we present a new wavelet-based compression algorithm for still color images especially for low bitrates. The coding algorithm distinguishes itself by a high adaptivity to the image content. It yields an embedded bitstream with the advantage of spatial and quality scalability. The performance of the wavelet codec is demonstrated in comparison with the JPEG standard for diierent co...

متن کامل

YUV Conversion Subsampling YUV - > RGB Conversion Upsampling

In this paper, we present a new wavelet-based compression algorithm for still color images especially for low bitrates. The coding algorithm distinguishes itself by a high adaptivity to the image content. It yields an embedded bitstream with the advantage of spatial and quality scalability. The performance of the wavelet codec is demonstrated in comparison with the JPEG standard for diierent co...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017