In current digital era the image interpolation techniques based on multi-resolution technique
are being discovered and developed. These techniques are gaining importance due to their …

Image super-resolution is a process of obtaining one or more high-resolution image from
single or multiple samples of low-resolution images. Due to its wide applications, a number …

Image resizing is a basic tool in image processing, and in literature, we have many methods
based on different approaches, which are often specialized in only upscaling or …

Super-resolution (SR) is a useful technology to generate a high-resolution (HR) visual
output from the low-resolution (LR) visual inputs overcoming the physical limitations of the …

Edge in an image is a contour across which the brightness of the image changes abruptly.
Edge detection plays a vital role in image processing. Edge detection is a process that …

The most common reason for blindness among human beings is Glaucoma. The increase of
fluid pressure damages the optic nerve which gradually leads to irreversible loss of vision. A …

Image scaling is an important technique used to scale down or scale up the pictures or video
frames to fit to the application. This work proposes a new scaling algorithm for image scaling …

This paper presents a new algorithm for de-noising global positioning system (GPS) and
inertial navigation system (INS) data and estimates the INS error using wavelet multi …

In recent years, Camera Smart phone has become a popular consumer electronics product.
Young people like to use that to record their daily lives, moreover, they will share these …

Aiming at the problem of poor classification and recognition rate for distorted texture image
based on single texture feature, a classification method of texture image based on multi …