CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …

Deep convolutional neural networks (CNNs) are used for image denoising via automatically
mining accurate structure information. However, most of existing CNNs depend on enlarging …

Co-registration of multimodal remote sensing (RS) images (eg, optical, infrared, LiDAR, and
SAR) is still an ongoing challenge because of nonlinear radiometric differences (NRD) and …

Creating software with high quality has become difficult these days with the fact that size and
complexity of the developed software is high. Predicting the quality of software in early …

This paper presents a new contrast enhancement approach which is based on Cuckoo
Search (CS) algorithm and DWT-SVD for quality improvement of the low contrast satellite …

Medical ultrasound images are corrupted with speckle noise inherently, which can cause
negative effects on image-based interpretation and diagnostic procedure. Speckle reduction …

We present a functional framework for the design of tight steerable wavelet frames in any
number of dimensions. The 2-D version of the method can be viewed as a generalization of …

The impact of radiation dose is directly related to the quality of computed tomography (CT)
images. Low‐dose CT images are degraded with the noise and other factors. Noise …

Computed Tomography (CT) is one of the major tools to identify diagnose in medical
science. The quality of CT images is dependent of X-ray amount. If X-ray dose is higher, the …

In the past decade, several schemes for digital image watermarking have been proposed to
protect the copyright of an image document or to provide proof of ownership in some …