Background: The HU linearity is an essential parameter in a quantitative imaging and the treatment planning systems of radiotherapy. Objective: This study aims to evaluate the linearity of Hounsfield unit (HU) in applying the adaptive iterative dose reduction (AIDR) on CT scanner and its comparison to the filtered back-projection (FBP).Material and Methods: In this experimental phan...

Background: Prospectively electrocardiography (ECG)-triggered high-pitch spiral coronary computed tomography angiography (CCTA) is a unique scan mode for dual-source CT (DSCT). Our reports aim to compare image quality and radiation dose of CCTA using high-pitch spiral or sequential acquisition mode in patients with low and stable heart rates. Materials and Methods: Patients with low and stable ...

Abstract In a dataset, the misidentified labels can be assumed as true flipped with probability. this paper, we study general situation in which sample are corrupted at random. We propose noise rate estimation method and prove that by adopting importance reweighting, accuracy of classification label problem rise approximately 10% through any surrogate loss function. The two methods choose for r...

Image restoration is the process of restoring the degraded or corrupted image back to its original form. It is the initial step of image processing. Noise is added in the image while sending an image from one place to another via satellites, wireless, or during image acquisition process. There are various types of noises such as salt and pepper noise(impulse noise), Gaussian noise etc. The main...

In this paper, four chaotic maps are compared and noise effects are observed on image. Firstly, we use the image encryption algorithm to convert original image to encrypted image. Now we apply noise on the encrypted image and then decrypt cipher image with noise back to original image. The Simulation experimental results shows that Cross Chaotic map has got best results. Also, noise has a littl...

TEM (Transmission Electron Microscopy) is an important morphological characterization tool for Nanomaterials. Quite often a microscopy image gets corrupted by noise, which may arise in the process of acquiring the image, or during its transmission, or even during reproduction of the image. Removal of noise from an image is one of the most important tasks in image processing. Denoising technique...

A highly influential factor in the performance of image processing algorithms is the amount of noise present in the digital image. A priori knowledge of the expected levels of noise in the image dramatically improves the performance and efficiency in image processing routines. In a digital photofinishing system, image noise is primarily attributed to film grain and scanner noise. Therefore, if ...

This paper presents a noise invariant image analysis using image histograms which can be used for retrieval of similar images. Noise can be defined as degradation in the pixel values. The sources of noise in digital images arise during either image acquisition or transmission. Therefore, robust noise invariant analysis and comparison of images is important for digital image libraries and multim...

Image deblurring and denoising are the fundamental problems generally arise in the field of image processing with several applications. This paper presents both areas of image restoration. Image deblurring and denoising methods are most commonly designed for removal of both impulsive noise and Gaussian noise. Impulsive noise is a most common noise which affects the image quality during image ac...