Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks

  title={Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks},
  author={Y. Asnath Victy Phamila and Ramachandran Amutha},
  journal={Signal Process.},

Evaluating the performance of max current AC-DCT based colored digital image fusion for Visual Sensor Network's

An efficient digital image fusion strategy that is created for Visual Sensor Networks (VSN's) to work in resource restricted, hazardous environments like battlefields and has produced better quality images as compared to other available methods of fusion in DCT domain.

Multi-focus image fusion for visual sensor networks

The experimental results show the improvement of proposed algorithm in terms of both subjective and objective quality of fused image relative to other DCT based techniques.

Multi-Focus Image Fusion Based on Spatial Frequency in Discrete Cosine Transform Domain

The results show that the fusion method improves the quality of the output image visually and outperforms the previous DCT based techniques and the state-of-art methods in terms of the objective evaluation.

A novel hybrid image fusion method based on integer lifting wavelet and discrete cosine transformer for visual sensor networks

An efficient hybrid image fusion method which is suitable for VSNs based on the integer lifting wavelet transform (ILWT) and the discrete cosine transformer (DCT) and which overcomes the loss of information, computational complexity, time and energy consumption and memory space.

A Study and Evaluation of Transform Domain based Image Fusion Techniques for Visual Sensor Networks

This paper presents an evaluation of different image fusion techniques and the discrete cosine transforms (DCT) based methods are more suitable for energy consumption and time-saving in real-time systems using DCT based standards of still image.

A Low Complexity VLSI Architecture for Multi-Focus Image Fusion in DCT Domain

The proposed method consumes very less power and can process 4K resolution images at the rate of 60 frames per second which makes the hardware suitable for handheld portable devices such as camera module and wireless image sensors.

Multi-focus image fusion using VOL and EOL in DCT domain

Four matrices are developed which calculate the Laplacian of block easily in DCT domain and greatly reduce error due to unsuitable block selection.

Multi-focus image fusion in DCT domain based on correlation coefficient

  • M. A. NajiA. Aghagolzadeh
  • Computer Science
    2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)
  • 2015
An efficient, new and simple method is proposed for multi-focus image fusion which is based on correlation coefficient calculation in the discrete cosine transform (DCT) domain which shows that the output image quality is better than that of the previous methods.

An Improved DCT Based Image Fusion Using Saturation Weighting and Joint Trilateral Filter

A novel method for multi-focus image fusion scheme based on ACMax DCT specially designed for visual sensor networks based on higher valued alternating current coefficients computed in DCT in combination with saturation weighting based color constancy to reduce the color artifacts.



Adaptive Fusion of Multimodal Surveillance Image Sequences in Visual Sensor Networks

The proposed fusion method uses the structural similarity measure (SSIM) to measure a level of noise in regions of a received image in order to optimize the selection of regions in the fused image.

Implementation of image fusion techniques for multi-focus images using FPGA

This paper addresses issues in image fusion: Fused two images by different techniques which present in this research, Quality assessment of fused images with above methods, Comparison of different techniques to determine the best approach and Implement the best technique by using Field Programmable Gate Arrays (FPGA).

Fast zonal DCT for energy conservation in wireless image sensor networks

The problem of energy conservation in wireless image sensor networks is addressed, and a fast zonal discrete consine transform (DCT) design which aims to decrease the complexity of JPEG baseline

A contrast based image fusion technique in the DCT domain

Energy-Efficient Image Compression for Resource-Constrained Platforms

A quantitative comparison between the energy costs associated with direct transmission of uncompressed images and sensor platform-based JPEG compression followed by transmission of the compressed image data is presented.

Multisensor Image Fusion Using the Wavelet Transform

The proposed scheme performs better than the Laplacian pyramid-based methods due to the compactness, directional selectivity, and orthogonality of the wavelet transform.

Multifocus Image Fusion Using Wavelet Transform

As the size and cost of sensors decrease, sensor ne tworks are increasingly becoming an attractive meth od to collect information in a given area, and data fusion provides an effective method to enable compariso n, interpretation and analysis of such data.

Multifocus image fusion by combining curvelet and wavelet transform