The 3D reconstruction using deep learning-based intelligent systems can provide great help
for measuring an individual's height and shape quickly and accurately through 2D motion …

Fast and simultaneous identification of multiple viable pathogens on food is critical to public
health. Here we report a pathogen identification system using a paper chromogenic array …

In the classical bilateral filter, a fixed Gaussian range kernel is used along with a spatial
kernel for edge-preserving smoothing. We consider a generalization of this filter, the so …

The dehazing techniques designed so far are not so-effective at preserving texture details,
especially in case of a complex background and large haze gradient image. Therefore, the …

Haze degrades visual information of remotely sensed images. Therefore, haze removal is a
demanding and significant task for visual multispectral information improvement. The …

Removing the haze from still images is a challenging issue. Dark Channel Prior (DCP)
based dehazing techniques have been used to remove haze from still images. However, it …

Satellite image denoising is essential for enhancing the visual quality of images and for
facilitating further image processing and analysis tasks. Designing of self-tunable 2-D finite …

We consider the problem of approximating a truncated Gaussian kernel using Fourier
(trigonometric) functions. The computation-intensive bilateral filter can be expressed using …

Haze reduces the visibility of outdoor images. The majority of existing dehazing techniques
perform poorly whenever objects are similar to airlight, and no shadow is cast on them. Also …

Power Spectral Density (PSD) is an essential representation of the signal spectrum that
depicts the power measurement content versus frequency. PSD is typically used to …