2013
DOI: 10.5815/ijisa.2014.01.02
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Super-resolution Image Created from a Sequence of Images with Application of Character Recognition

Abstract: Abstract-Super-resolution techniques allow co mbine mu ltip le images of the same scene to obtain an image with increased geometric and rad io metric resolution, called super-resolution image. In this image are enhanced features allowing to recover important details and informat ion. The object ive of this work is to develop efficient algorith m, robust and automated fusion image frames to obtain a super-resolution image. Image registration is a fundamental step in comb ining several images that make up the sc… Show more

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Cited by 2 publications
(2 citation statements)
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“…It has been widely used for this purpose. For example, Almeida et al [23] used SIFT algorithm and RANSAC for creating a super-resolution image from a sequence of images with application of character recognition.…”
Section: | A-hb || <mentioning
confidence: 99%
“…It has been widely used for this purpose. For example, Almeida et al [23] used SIFT algorithm and RANSAC for creating a super-resolution image from a sequence of images with application of character recognition.…”
Section: | A-hb || <mentioning
confidence: 99%
“…This theory applies on every walk of our life and the same is true for writing, synthesizing and identification in a document [22,26] of a word processing application or searching a query in a web browser. Today, the word processing applications, text editors, web browsers and spam detection [21], etc., on our machines are satisfying human typing needs quite efficiently and the facility of character/word/sentence prediction and recognition [23] becomes a tool to reduce the time of human typing on machines. There is a large prediction support existed on machines for English language and also for the other European languages as well.…”
Section: Introductionmentioning
confidence: 99%