Titlebook: Data Management and Internet Computing for Image/Pattern Analysis; David Zhang,Xiaobo Li,Zhiyong Liu Book 2001 Springer Science+Business M

FERAL

书目名称Data Management and Internet Computing for Image/Pattern Analysis影响因子(影响力)




书目名称Data Management and Internet Computing for Image/Pattern Analysis影响因子(影响力)学科排名




书目名称Data Management and Internet Computing for Image/Pattern Analysis网络公开度




书目名称Data Management and Internet Computing for Image/Pattern Analysis网络公开度学科排名




书目名称Data Management and Internet Computing for Image/Pattern Analysis被引频次




书目名称Data Management and Internet Computing for Image/Pattern Analysis被引频次学科排名




书目名称Data Management and Internet Computing for Image/Pattern Analysis年度引用




书目名称Data Management and Internet Computing for Image/Pattern Analysis年度引用学科排名




书目名称Data Management and Internet Computing for Image/Pattern Analysis读者反馈




书目名称Data Management and Internet Computing for Image/Pattern Analysis读者反馈学科排名

漂白

Parallel Processing for Image Restorationtion 9.2. To speed-up our algorithm again, a parallel JBNM is proposed in Section 9.3. Section 9.4 shows some experimental results and performance analysis related to our parallel algorithm. We make a conclusion in Section 9.5.

Mingle

Book 2001ing and pattern recognition research.The book presents a comprehensive overview of the state of the art,providing detailed case studies that emphasize how image and pattern(IAP) data are distributed and exchanged on sequential and parallelmachines, and how the data communication patterns in low- and

不在灌木丛中

Neural Evolution Model for Gray Level Image Restorationte descending mutation, “survival of the fittest” selection rule and hybrid evolution strategies are presented in Section 4.3. Neural evolution algorithm is introduced in Section 4.4. Theoretical analysis and experimental results in Section 4.5 demonstrate the efficiency of the proposed method. In Section 4.6, we draw a conclusion.

诱拐

阻挠

Das Telefonat als Mediengesprächstypementation are presented in Section 6.2 and Section 6.3, respectively. ES-BNM Algorithm is also defined in Section 6.4. Theoretical analysis and experimental results in Section 6.5 demonstrate the efficiency of the proposed method. In Section 6.6, we draw a conclusion.

阻挠

Convex Optimization for Image Reconstructionns. In Section 14.3, the experimental results show that our approach well achieves enhanced decoding for JPEG-decoded images both objectively and subjectively. We also introduce the progressive switching median filter for the removal of impulse noise and its detection using fuzzy techniques in Sections 14.4 and 14.5, respectively.

Prophylaxis

搏斗

Reduction of Blocking Effects and Removal of Impulse Noisens. In Section 14.3, the experimental results show that our approach well achieves enhanced decoding for JPEG-decoded images both objectively and subjectively. We also introduce the progressive switching median filter for the removal of impulse noise and its detection using fuzzy techniques in Sections 14.4 and 14.5, respectively.

WAIL

https://doi.org/10.1007/978-3-7091-0458-3ory systems discussed in Chapter 10. In addition,some special issue (data reuse rate) need to be considerate in cache systems.We will discuss the cache line conflict problem and some techniques to solveit in this chapter.