Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Digital Video and HDTV Algorithms and Interfaces
Digital Video and HDTV Algorithms and Interfaces
Image Sequence Fusion Using a Shift-Invariant Wavelet Transform
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Multifocus image fusion using region segmentation and spatial frequency
Image and Vision Computing
Multifocus image fusion by combining curvelet and wavelet transform
Pattern Recognition Letters
Energy-efficient image compression for resource-constrained platforms
IEEE Transactions on Image Processing
Multi-focus image fusion for visual sensor networks in DCT domain
Computers and Electrical Engineering
Edge preserved image fusion based on multiscale toggle contrast operator
Image and Vision Computing
Adaptive Fusion of Multimodal Surveillance Image Sequences in Visual Sensor Networks
IEEE Transactions on Consumer Electronics
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
| Hi-index | 0.08 |
This paper presents a simple and efficient multi-focus image fusion scheme explicitly designed for wireless visual sensor systems equipped with resource constrained, battery powered image sensors employed in surveillance, hazardous environment like battlefields etc. Here the fusion of multi-focus images is based on higher valued Alternating Current (AC) coefficients calculated in Discrete Cosine Transform (DCT) domain. The proposed method overcomes the computation and energy limitation of low power devices and is investigated in terms of image quality and computation energy. Simulations are performed using Atmel Atmega128 processor of Mica 2 mote to measure the resultant energy savings. The experimental results verify the significant efficiency improvement of the proposed method in output quality and energy consumption, when compared with other fusion techniques in DCT domain.