Melanoma is a rare type of skin cancer that is regarded as the most threatening. Many
studies offered a variety of effective melanoma detection strategies. The primary goal of this …

The production rate of crops is significantly declining due to natural disasters, animal
interventions and plant diseases. Internet of things (IoT) and wireless sensor networks are …

We present the performance of three popular image feature extraction methods such as
Scale Invariant Feature Transformation (SIFT), Speeded-Up Robust Features (SURF) and …

An efficient hybrid image denoising method based on support vector machine (SVM)
classification is designed and developed in this communication. Here, the input noisy image …

Preservation of geometric components during image denoising using weighted bilateral filter
and curvelet transforms is explored in this research. The proposed method emphases the …

We propose a novel principal component analysis (PCA)-based image denoising framework
motivated by the fact that the PCA along with patch groups (PGs) can produce better …

At times of natural calamities, it is very important that applications need to have geolocation
data to provide accurate services without interruption. For this, we need to have appropriate …

Image enhancement is the inevitable technique for investigating various biological features.
The biological image data can be obtained from computer tomography (CT), magnetic …

Neutron imaging technology is a non-destructive testing method that uses the interaction
characteristics between neutrons and matter to obtain images. In the process of neutron …

We develop an efficient MRI denoising algorithm based on sparse representation and
curvelet transform with variance stabilizing transformation framework. By using sparse …