Image fusion plays an important role in image enhancement and retrieval. For multi-focus
image fusion as it is related to frequency distortion the wavelet with symmetric property is …

This chapter includes fusion of SAR and hyperspectral data for land use land cover (LULC)
classification. LULC classification using satellite data is required for providing useful and …

In this paper, a novel and enhanced image fusion procedure based on Discrete Wavelet
Transform (DWT) with Artificial Bee Colony Optimization (ABC) termed as DWTopti is …

In this paper, a robust and improved image segmentation technique is proposed for
segmentation of a fused image based on Discrete Cosine Transform (DCT) with Artificial …

The chapter signifies the benefits of using AI methods for medical image fusion of different
modalities. The modality can be CT, MR-T1, MR-T2, PET, etc. depending on the suspected …

Image fusion mainly focused on image enhancement for better visualization of a scene. Due
to Fusion of Multi-focus noisy we achieve the enhanced image having better visual quality …

LULC classification is an important application of satellite images. Retrieval of authentic
information about earth surface features is required to provide effective solutions for solving …

Image fusion is defined as the process of combining two or more different images into a new
single image retaining the important features from each image with extended information …

As multisensory data is made available in many areas such as remote sensing, medical
imaging, etc, the sensor fusion has become a new field for research. Multisensor image …

Abstract Wireless Multimedia Sensor Networks (WMSNs) have been widely used in many
practical applications. Data reduction techniques such as image fusion and compression are …