Intelligent image noise types recognition and denoising system using deep learning /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2019.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/10327/ |
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| LEADER | 01541cam a2200373 i 4500 | ||
|---|---|---|---|
| 001 | u1116069 | ||
| 003 | SIRSI | ||
| 005 | 201906111124 | ||
| 008 | 190611s2019 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a TJ7 |b UMP 2019 Kha | ||
| 097 | |a TJ7 |b UMP 2019 Kha | ||
| 100 | 1 | |a Khaw, Hui Ying, |e author. | |
| 245 | 1 | 0 | |a Intelligent image noise types recognition and denoising system using deep learning / |c Khaw Hui Ying. |
| 264 | 1 | |c 2019. | |
| 300 | |a xx, 108 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kejuruteraan Mekanik, Fakulti Kejuruteraan, Universiti Malaya |d 2019. | ||
| 504 | |a Bibliography: leaves 102-107. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Digital images |x Deconvolution. | |
| 650 | 0 | |a Image converters |x Design and construction. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Mekanik, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/10327/ |
| 596 | |a 1 7 25 | ||
| 900 | |a HH NSM | ||
| 999 | |a TJ7 UMP 2019 KHA |w LC |c 1 |i A517372472 |f 26/6/2019 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 26/6/2019 |1 STEM | ||
| 999 | |a TJ7 UMP 2019 KHA |w LC |c 1 |i A517295064 |f 8/8/2019 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 8/8/2019 |1 STEM | ||
| 999 | |a TJ7 UMP 2019 KHA |w LC |c 1 |i A517448984 |f 30/8/2019 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 30/8/2019 |1 STEM | ||