Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems

Date

2011-09-01

Author

Kara, A. Onur
Okman, O. Erman
Aytac, Tayfun

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

157
views

0
downloads

Most of the techniques developed for infrared (IR) image enhancement (IE) depend heavily on the scene, environmental conditions, and the properties of the imaging system. So, with a set of predefined scenario properties, a content-based IR-IE technique can be developed for better situational awareness. This study proposes an adaptive IR-IE technique based on clustering of wavelet coefficients of an image for sea surveillance systems. Discrete wavelet transform (DWT) of an image is computed and feature vectors are constructed from subband images. Clustering operation is applied to group similar feature vectors that belong to different scene components such as target or background. Depending on the feature vectors, a weight is assigned to each cluster and these weights are used to compute gain matrices which are used to multiply wavelet coefficients for the enhancement of the original image. Enhancement results are presented and a comparison of the performance of the proposed algorithm is given through subjective tests with other well known frequency and histogram based enhancement techniques. The proposed algorithm outperforms previous ones in the truthfulness, detail visibility of the target, artificiality, and total quality criteria, while providing an acceptable computational load.

Subject Keywords

Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Condensed Matter Physics

URI

https://hdl.handle.net/11511/66467

Journal

INFRARED PHYSICS & TECHNOLOGY

DOI

https://doi.org/10.1016/j.infrared.2011.05.003

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

High-x InP/InxGa1-xAs quantum well infrared photodetector Beşikci, Cengiz (Elsevier BV, 2018-12-01) Quantum well infrared photodetector (QWIP) technology is still the only thermal imaging sensor technology providing excellent pixel operability, uniformity and stability together with low production cost and insignificant 1/f noise. The main bottleneck of the standard QWIP technology is the low quantum efficiency and device gain inhibiting the utilization of the sensor for low background and/or high frame rate applications. This manuscript reports unusually high quantum efficiency observed in mid-wavelength...
QWIP focal plane arrays on InP substrates for single and dual band thermal imagers Eker, S. U.; Arslan, Y.; Kaldirim, M.; Beşikci, Cengiz (Elsevier BV, 2009-11-01) Alternative material systems on InP substrate provide certain advantages for mid-wavelength infrared (MWIR), long-wavelength infrared (LWIR) and dual band MWIR/LWIR quantum well infrared photodetector (QWIP) focal plane arrays (FPAs). While InP/InGaAs and InP/InGaAsP LWIR QWIPs provide much higher responsivity, when compared to the AlGaAs/CaAs QWIPs, AllnAs/InGaAs system facilitates completely lattice matched single band MWIR and dual band MWIR/LWIR FPAs.
Nonlinear optical properties of a Woods-Saxon quantum dot under an electric field AYTEKİN, ÖZLEM; Turgut, Sadi; Unal, V. Ustoglu; Aksahin, E.; Tomak, Mehmet (Elsevier BV, 2013-12-01) A theoretical study of the effect of the confining potential on the nonlinear optical properties of two dimensional quantum dots is performed. A three-parameter Woods-Saxon potential is used within the density matrix formalism. The control of confinement by three parameters and an applied electric field gives one quite an advantage in studying their effects on the nonlinear properties. The coefficients investigated include the optical rectification, second and third-harmonic generation and the change in the...
Electromagnetic metamorphosis: Reshaping scatterers via conformal anisotropic metamaterial coatings Ozgun, Ozlem; Kuzuoğlu, Mustafa (Wiley, 2007-10-01) We introduce a new technique (in the context of time-harmonic electromagnetic scattering), which renders an object (or scaterer) to be perceived as if it has a different shape, irrespective of the location of the observer. This is achieved through the usage of an anisotropic metamaterial layer, which is designed as conformal to the surface of the scatterer by employing the concept of coordinate transformation. We report some numerical results for finite element simulations of two-dimensional anisotropic met...
The effect of Laplacian filter in adaptive unsharp masking for infrared image enhancement İLK, HAKKI GÖKHAN; Jane, Onur; İlk Dağ, Özlem (Elsevier BV, 2011-09-01) Image processing, in particular image enhancement techniques have been the focal point of considerable research activity in the last decade. With the aid of an existing image enhancement technique, adaptive unsharp masking (AUM), we propose a novel kernel to be used in AUM filtering in order to enhance discontinuities which occur on the edges of targets of interest in infrared (IR) images. The proposed method uses an adaptive filter approach where an objective function is minimized by using descent algorith...

Citation Formats

A. O. Kara, O. E. Okman, and T. Aytac, “Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems,” INFRARED PHYSICS & TECHNOLOGY, pp. 382–394, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66467.