Scalable image quality assessment with 2D mel-cepstrum and machine learning approach
Measurement of image quality is of fundamental importance to numerous image and video processing applications. Objective image quality assessment (IQA) is a two-stage process comprising of the following: (a) extraction of important information and discarding the redundant one, (b) pooling the detect...
Saved in:
Main Authors: | Narwaria, Manish, Lin, Weisi, Cetin, A. Enis |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/105846 http://hdl.handle.net/10220/17949 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
SVD-based quality metric for image and video using machine learning
by: Narwaria, Manish, et al.
Published: (2013) -
Image quality assessment based on gradient similarity
by: Liu, Anmin, et al.
Published: (2013) -
Nonintrusive quality assessment of noise suppressed speech with Mel-Filtered energies and support vector regression
by: Narwaria, Manish, et al.
Published: (2013) -
Fourier transform-based scalable image quality measure
by: Narwaria, Manish, et al.
Published: (2013) -
Low-complexity video quality assessment using temporal quality variations
by: Narwaria, Manish, et al.
Published: (2013)