Image denoising in wavelet and spatial domain
The objectives of the work to denoise image are; to design a local median filter in wavelet threshold for noise removal; to implement local median filter in wavelet threshold image de-noising in Raspberry Pi platform; to analyse the performance image in term of (PSNR and MSE) in PC and Raspberry Pi...
Saved in:
Main Author: | |
---|---|
Corporate Author: | |
Format: | Thesis Software eBook |
Language: | English |
Published: |
Perlis, Malaysia
School of Computer and Communication Engineering
2019
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 01695nmm a2200385Ii 4500 | ||
---|---|---|---|
001 | vtls000139253 | ||
003 | MY-ArUMP | ||
005 | 20210731032701.0 | ||
007 | co cg||||uuuuu | ||
008 | 200212s2019 my fq d eng d | ||
035 | |a (OCoLC)1140180907 | ||
035 | |a (OCoLC)on1140180907 | ||
039 | 9 | |y 202002121111 |z SMI | |
040 | |a MYPMP |b eng |e rda |c MYPMP | ||
049 | |a MYPA | ||
100 | 0 | |a Jebur, Rusul Sabah. | |
245 | 1 | 0 | |a Image denoising in wavelet and spatial domain |c Rusul Sabah Jebur |
264 | 1 | |a Perlis, Malaysia |b School of Computer and Communication Engineering |c 2019 | |
300 | |a 1 CD-ROM |c 12 cm | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a computer disc |b cd |2 rdacarrier | ||
502 | |a Dissertation (Master of Science) -- Universiti Malaysia Perlis. School of Computer and Communication Engineering, 2019 | ||
504 | |a Includes bibliographical references. | ||
520 | |a The objectives of the work to denoise image are; to design a local median filter in wavelet threshold for noise removal; to implement local median filter in wavelet threshold image de-noising in Raspberry Pi platform; to analyse the performance image in term of (PSNR and MSE) in PC and Raspberry Pi platform. | ||
541 | |a Gift from Centre for Graduate Studies (Master of Science) |b 2019 | ||
710 | 2 | |a Universiti Malaysia Perlis | |
790 | 1 | |a School of Computer and Communication Engineering | |
791 | 1 | |a Master of Science | |
792 | 1 | |a 2019 | |
942 | |2 lcc |c COMPFILE | ||
949 | |a VIRTUAITEM |d 30000 |f 1 |x 701 | ||
994 | |a C0 |b MYPMP | ||
999 | |c 20512 |d 20512 | ||
952 | |0 0 |1 0 |2 lcc |4 0 |7 0 |9 25837 |a PTSFP |b PTSFP |d 2021-07-31 |l 0 |r 2021-07-31 |t 1 |w 2021-07-31 |y COMPFILE |