Impulse noise is one of the major problems in digital image processing. Impulse noise can
corrupt the images and also damage the fine details in the image. Different filtering …

Diabetic retinopathy (DR), a complication due to diabetes, is the leading cause of blindness.
Diagnosis of DR at its earliest is thus very necessary. In this paper, we present an automated …

The essential constraint on the input images to any computer vision technology is its quality.
Acquiring noise free digital images is a challenge as it depends on several factors …

Although there are many methods in the literature to eliminate noise from images, finding
new methods remains a challenge in the field and, despite the complexity of existing …

Abnormal localization of immature precursors (ALIP) aggregating and clustering in bone
marrow biopsy appears earlier than that of bone marrow smears in detection of the relapse …

Low density impulse noise can be successfully denoised by traditional median filter. But the
performance badly deteriorates if the noise density is high. Recently fuzzy-based adaptive …

In medical image processing, Magnetic Resonance Imaging (MRI) is one of significant
diagnostic techniques. It provides high quality of important information about the analysis of …

In this paper, a very effective nonlinear filtering technique is presented for denoising the
image with severe salt & pepper noise. The filter reconstruct a corrupted pixel in three steps …

An approach of an image watermarking scheme using neural network is presented in this
work. In the proposed approach, watermark comes from the weights of an identify image that …

Noise is a common phenomenon and usually introduce during acquisition and transmission
of images. Reduction and removal of noise from digital images is a prerequisite for …