会议专题

A ROBUST SUPER-RESOLUTION USING COMBINATION OF DIFFERENT TYPE FEATURE DETECTIONS

Recently, media for pictures and movies shift from analog data on films to digital data. These data is sub-sampled and have low resolution. Therefore, some techniques of conversion or estimation high resolution image from low resolution images are presented. These algorithms generating high resolution image are called as super-resolution. However, there are some problems, huge processing time, and necessity to use high performance processor. For resolving these problems, some improving researches are progressing, In this paper, an accurate registration technique using combination of different type feature detections is proposed as a quality raising technique. Registration, or position estimates, is used in one of the super-resolution techniques which use plural low resolution images to superpose these low resolution images.

super-resolution registration feature detection morphing

Hitoshi Yamauchi Akihiro Kanagawa

Faculty of Computer Science and Systems Engineering, Okayama Prefectural University,Okayama 719-1197, Japan

国际会议

The Tneth International Conference on Industrial Management(第十届工业管理国际会议 ICIM 2010)

北京

英文

729-734

2010-09-16(万方平台首次上网日期,不代表论文的发表时间)