Image Sharpening and High Boost Filtering | Thesis Work

Image Sharpening The main aim of image sharpening is to highlight the fine details in an image or to enhance the blurred details (due to noise or other effects such as motion). It enhances the high-frequency components which use a Read More …

Image Smoothing | Best Thesis Guidance

The aim of image smoothing is to diminish the effects of camera noise, spurious pixel values, missing pixel values, etc. It is commonly achieved using neighborhood averaging and edge-preserving smoothing. Neighbourhood Averaging Each pixel of the smoothed output image, F'(x, Read More …

Characteristics of Wireless Mesh Network

(I) Multi-hop Wireless Network WMNs help in broadening the inclusion region of the existing network without influencing the limit of the channel and furthermore convey NLOS(non-observable pathway) between the customers, regardless of whether they don’t have any immediate connections between Read More …

Hierarchical and Hybrid architecture in Wireless Mesh Network

In this design, the system has numerous stages or layered dimensions wherein the most reduced dimension contains hubs called the customer hubs. These customer hubs in the most reduced dimension in the level have an ability to have a correspondence Read More …

Levels of Digital Image Processing |Spatial Domain Enhancement | M Tech PhD |

Levels of Digital Image Processing Low-level image processing covers the primitive operations for noise suppression, contrast enhancement and image sharpening. In this level, both input and output are images. Mid-level image processing refers to image segmentation, representation / description techniques, Read More …