Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Ultrasonography is non-invasive and painless. In Ultrasonography the images are often
affected with Speckle noise. It is a multiplicative noise. To help the doctors to identify the …

Monitoring of industrial processes is an important element ensuring the proper maintenance
of equipment and high level of processes reliability. The presented research concerns the …

Medical Imaging is the most significant technique that constitutes information needed to
diagnose and make the right decisions for treatment. These images suffer from inadequate …

Medical imaging is a complex process that capitulates images created by X-rays, ultrasound
imaging, angiography, etc. During the imaging process, it also captures image noise during …

Single image rain removal plays an important role in numerous multimedia applications.
Existing algorithms usually tackle the deraining problem by the way of signal removal, which …

A conventional camera performs various signal processing steps sequentially to reconstruct
an image from a raw Bayer image. When performing these processing in multiple stages the …

Ultrasound is a diagnostic imaging technique to detect various illnesses related to the body's
internal organs. It is a non-invasive, safe, cost-effective, and simple imaging modality that …

Spectral unmixing is an important task for hyperspectral remote sensing image processing,
which infers the pure spectral signatures (endmembers) in hyperspectral image (HSI) and …