Super-resolution of images using compressive sensing
Signal reconstruction has been long tackled by researchers several decades past even up until this very moment. This has been no doubt a topic of interest by many. Ideally, for a successful signal recovery, the original signal must have no frequencies above one-half the sampling frequency, as stated...
Saved in:
Main Authors: | Bachini, Lawrence Ralph O., Dellomos, Danielle C., Lorilla, Marc Russell V. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2014
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/11353 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Sparsity-inducing super-resolution passive radar imaging with illuminators of opportunity
by: Zhang, S, et al.
Published: (2020) -
Comparison of Huffman algorithm and Lempel-Ziv algorithm for audio, image and text compression
by: Bedruz, Rhen Anjerome, et al.
Published: (2016) -
Super-resolution using Blackfin 537
by: Fortunado, Kristina Waleska U., et al.
Published: (2007) -
Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing
by: Zhang, L., et al.
Published: (2014) -
New Algorithms for image compression based on block truncation coding
by: RYAN REY, DAGA
Published: (2016)