| dc.contributor.author | Wunmaesod, Dolrawe | en_US |
| dc.contributor.author | ดลรวี วุ่นแม่สอด | en_US |
| dc.date.accessioned | 2020-01-10T08:29:19Z | |
| dc.date.available | 2020-01-10T08:29:19Z | |
| dc.date.issued | 2020-01-10 | |
| dc.identifier.uri | http://repository.rmutp.ac.th/handle/123456789/2932 | |
| dc.description | วิทยานิพนธ์ (วศ.ม.) -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2560 | en_US |
| dc.description.abstract | The sharpness of the image, the current demand is increasingly high. Since
many types of screens has developed a definition and high definition media support
for secondary NICs modern electronica. But if we have information that is
incomplete. Monitor is not working efficiently. There are various ways to improve the
clarity of digital images. For example HE, BBHE, DSIHE and MMBEBHE have been
developed to improve the image sharper and brighter. By improving the techniques
for Histogram Equalization independently of each other. In this paper will present the
Digital Image Enhancement via Multi-Peak Histogram Equalization (DIEMPHE) by
histogram equalization into n sections as the turning point arch top and bottom of
the Histogram. By each section is independent. Image results are the average
brightness error is lower and the higher the intensity of the image. | en_US |
| dc.description.sponsorship | Rajamangala University of Technology Phra Nakhon | en_US |
| dc.language.iso | th | en_US |
| dc.subject | histogram equalization | en_US |
| dc.subject | weight histogram equalization discrete wavelet | en_US |
| dc.subject | absolute mean brightness error | en_US |
| dc.subject | การตกแต่งภาพถ่าย | eu_US |
| dc.subject | ภาพดิจิตอล | eu_US |
| dc.title | Multi-Peak detection and histogram equalization for minimum mean brightness preserving | en_US |
| dc.title.alternative | การตรวจหามัลติพีคและการปรับเท่าฮีสโตแกรมเพื่อรักษาค่าเฉลี่ย ความสว่างต่ำสุด | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.emailauthor | [email protected] | en_US |
