Deep learning approach for the detection of noise type in ancient images
Recent innovations in digital image capturing techniques facilitate the capture of stationary
and moving objects. The images can be easily captured via high-end digital cameras …
and moving objects. The images can be easily captured via high-end digital cameras …
Sonar image segmentation and quality assessment using prominent image processing techniques
Sound navigation and ranging (SONAR) is a technique that uses sound propagation to
navigate, communicate or to detect objects on or under the surface of the water. It even …
navigate, communicate or to detect objects on or under the surface of the water. It even …
[PDF][PDF] Statistical moments based noise classification using feed forward back propagation neural network
ABSTRACT A neural network classification based noise identification method is presented
by isolating some representative noise samples, and extracting their statistical features for …
by isolating some representative noise samples, and extracting their statistical features for …
A car-face region-based image retrieval method with attention of SIFT features
C Zhang, X Wang, J Feng, Y Cheng, C Guo - Multimedia Tools and …, 2017 - Springer
A traffic still image captured by the high-definition camera located in traffic block port often
contains several vehicles. It provides an important clue to solve vehicle crime cases to …
contains several vehicles. It provides an important clue to solve vehicle crime cases to …
[PDF][PDF] Applications of neural networks for noise and filter classification to enhance the image quality
DT Santhanam, S Radhika - IJCSI International Journal of Computer …, 2011 - Citeseer
Image processing operations can be categorized into three major categories: image
enhancement, image compression and image restoration. The objective of image …
enhancement, image compression and image restoration. The objective of image …
[PDF][PDF] Probabilistic Neural Network-A Better Solution for Noise Classification
T Santhanam, S Radhika - Journal of Theoretical and Applied Information …, 2011 - jatit.org
Classification is one of the common tasks of human behavior. Classification problems arise
when an entity needs to be assigned into a predefined set based on a number of features …
when an entity needs to be assigned into a predefined set based on a number of features …
Enhancing digital images through cuckoo search algorithm in combination with morphological operation
R Babu, KVN Sunitha - International journal of trends in …, 2015 - academicjournalonline.org
This study presents an image enhancement approach to Cuckoo Search Algorithmin with
Morphological Operation. At the present time, in many image processing applications digital …
Morphological Operation. At the present time, in many image processing applications digital …
Fingerprint verification based on back propagation neural network
This paper is concerned with novel features for fingerprint classification based on the
Euclidian distance between the center point and their nearest neighbor bifurcation …
Euclidian distance between the center point and their nearest neighbor bifurcation …
Image enhancement using artificial neural network and fuzzy logic
S Narnaware, R Khedgaonkar - 2015 International Conference …, 2015 - ieeexplore.ieee.org
Digital images are important source of information used for analysis and interpretation.
During image acquisition image is degraded up to some extent. Thus we have to go through …
During image acquisition image is degraded up to some extent. Thus we have to go through …
Cuckoo optimization algorithm (COA) for image processing
Image optimization is the process of enhancing the image quality and visual appearance in
order to provide preferable transfer representation for many future automated images such …
order to provide preferable transfer representation for many future automated images such …