Digital Image Interpolation in MATLAB
Chi-Wah Kok, Canaan Semiconductor Limited;
Wing-Shan Tam, Canaan Semiconductor Limited
Wiley-IEEE Press, 2019
ISBN: 978-1-119-11961-6;
Language: English
Digital Image Interpolation in MATLAB provides a comprehensive study in digital image interpolation with theoretical, analytical, and MATLAB implementation. It includes all historically and practically important interpolation algorithms, which will assist readers in learning and understanding the implementation details of each presented interpolation algorithm. Furthermore, sections in fundamental signal processing theories and image quality models are also included. The authors intend for the book to help readers develop a thorough consideration of the design of image interpolation algorithms and applications for their future research in the field of digital image processing.
MATLAB code is included throughout the book, and includes some functions from Image Processing Toolbox.
- Introduces a wide range of traditional and advanced image interpolation methods concisely and provides thorough treatment of theoretical foundations
- Discusses in detail the assumptions and limitations of presented algorithms
- Investigates a variety of interpolation and implementation methods including transform domain, edge-directed, wavelet and scale-space, and fractal-based methods
- Features simulation results for comparative analysis, summaries, and computational and analytical exercises at the end of each chapter
-
A supplemental set of MATLAB code files is available to instructors for download on the publisher’s site (login required).
Web サイトの選択
Web サイトを選択すると、翻訳されたコンテンツにアクセスし、地域のイベントやサービスを確認できます。現在の位置情報に基づき、次のサイトの選択を推奨します:
また、以下のリストから Web サイトを選択することもできます。
最適なサイトパフォーマンスの取得方法
中国のサイト (中国語または英語) を選択することで、最適なサイトパフォーマンスが得られます。その他の国の MathWorks のサイトは、お客様の地域からのアクセスが最適化されていません。
南北アメリカ
- América Latina (Español)
- Canada (English)
- United States (English)
ヨーロッパ
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)