One of the most important challenging factors in medical images is nominated as noise. Image denoising refers to the improvement of a digital medical image that has been infected by Additive White Gaussian Noise (AWGN). The digital medical image or video can be affected by different types of noises. They are impulse noise, Poisson noise and AWGN. Computed tomography (CT) images are subjects to ...

Automatic recognition of people faces is a challenging problem that has received significant attention from signal processing researchers in recent years. This is due to its several applications in different fields, including security and forensic analysis. Despite this attention, face recognition is still one among the most challenging problems. Up to this moment, there is no technique that pr...

This paper presents a Lossy image compression technique which is combination of discrete wavelet transform (DWT), Thresholding, Vector Quantization (VQ) and Huffman coding. Proposed method is as follows, First, DWT is performed on the original image then Globle Thresholding technique is applied and resulting coefficients are then vector quantized. VQ indices are Huffman coded to increase the co...

Visual defect detection is a key technology in modern industrial manufacturing systems. There are many possible appearances of product defects, including distortions color, shape, contamination, missing or superfluous parts. For the those, besides traditional image processing techniques, convolutional neural networks based methods have also appeared to avoid usage hand-crafted features and buil...

In this research, the accuracy of image classification with Fourier Ptychography Microscopy (FPM) has been systematically investigated. Multiple linear regression shows a strong relationship between results and visual appearance quality based on PSNR SSIM multiple training datasets including MINST, Fashion MNIST, Cifar, Caltech 101, customized datasets. It is, therefore, feasible to predict onl...

Due to the much larger luminance and contrast characteristics of high dynamic range (HDR) images, wellknown objective quality metrics, widely used for the assessment of low dynamic range (LDR) content, cannot be directly applied to HDR images in order to predict their perceptual fidelity. To overcome this limitation, advanced fidelity metrics, such as the HDR-VDP, have been proposed to accurate...

Hutchinson-Gilford progeria syndrome (HGPS) is a rare genetic disorder that is characterized by dramatic premature aging and accelerated cardiovascular disease. HGPS is almost always caused by a de novo point mutation in the lamin A gene (LMNA) that activates a cryptic splice donor site, producing a truncated mutant protein termed "progerin." WT prelamin A is anchored to the nuclear envelope by...

With the increasing demand for image-based applications, the efficient and reliable evaluation of image quality has increased in importance. Measuring the image quality is of fundamental importance for numerous image processing applications, where the goal of image quality assessment (IQA) methods is to automatically evaluate the quality of images in agreement with human quality judgments. Nume...

Noise will be unavoidable during image acquisition process and denosing is an essential step to improve the image quality. Image denoising involves the manipulation of the image data to produce a visually high quality image. Finding efficient image denoising methods is still valid challenge in image processing. Wavelet denoising attempts to remove the noise present in the imagery while preservi...

The application of image restoration is not limited to the case of medical images especially in case of high resolution brain MRI images. The fractional Brownian motion noise present in these images affects certain important features which are needed for the proper diagnosis of brain diseases. Removal of fBm noise in these images is a kind of difficulty the researcher experiences. This paper in...