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In recent years, digital cameras have been widely used for image capturing. These devices are equipped in cell phones, laptops, tablets, webcams, etc. Image quality is an important characteristic for any digital image analysis. Historically, techniques to assess image quality for these mobile products require a standard image to be used as a reference image. In this case, Root Mean Square Error and...
Granulation segmentation of the solar photosphere is important step to obtain correct morphometric measures. In this paper, we present a novel method, using morphological technique, for granules segmentation in the solar photosphere. Firstly, a morphological filtering, employing opening-by-reconstruction and closing-by-reconstruction, is used to eliminate image noise. Secondly, Otsu technique is implemented...
In this paper we present a method for estimating the document image skew angle. The main idea of this method is based on the concept that any document image has objects with rectangular shape such as paragraphs, text lines, tables and figures. These objects can be bounded by rectangles. We use the extreme point's properties to obtain the corners of the rectangle which fits the largest connected component...
This paper presents an improved technique for hiding data in audio. The proposed method modifies the amplitude of the cover audio file to embed the secret message. To increase the security of the proposed scheme, we use a key to adjust the hiding technique. The suggested scheme does not need the original signal for extracting the hidden bits. Experimental results show that the proposed method is inaudible...
In this paper we propose the hybrid use of illuminant invariant and RGB images to perform image classification of urban scenes despite challenging variation in lighting conditions. Coping with lighting change (and the shadows thereby invoked) is a non-negotiable requirement for long term autonomy using vision. One aspect of this is the ability to reliably classify scene components in the presence...
The scan registration is the cornerstone to Mobile Robotic Mapping, and the majority of existing global registration methods are dependent on specific features. This paper presents a global feature-less scan registration strategy based on the ground surface, which is extremely common in Mobile Robotic Mapping scenarios. The 3D rotation is decoupled from 3D translation by transforming the input scans...
The main problem of applying Bayesian Shrinkage in transform domain such as Contourlet transform (CT) or wavelet transform (WT) is finding the optimum threshold values. In this paper, we show that the Contourlet coefficients are affected by noise differently. It means, some Contourlet coefficients belong to the specific sub-bands are more robust against noise. We use this new found property and define...
Computed Tomography as well as Magnetic Resonance or Positron Electron Tomography are currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon Transform (RT). In this paper, an algorithm...
A long "V" shaped linear wake with lots of bubbles is formed behind a sailing ship, which provides a target feature of the ship. Ship wake acoustic detection is one of the most effective ways for the Autonomous Underwater Vehicle to automatically search, track and attack surface targets. In this paper, we processed the sonar image data of ship wake in the lake test, using the sonar image...
In recent years, given the prominence of the electrical distribution network, power line communications channel has drawn interests among researchers throughout the globe. M-ary FSK modulation scheme has been extensively used when combined with certain error correcting codes because of its viability and robustness over the power line communications channel.
Removing noise from the original signal is still a challenging problem for researchers. Despite the complexity of the recently proposed methods, most of the algorithms have not yet attained a pleasing level of applicability. This paper presents a review of some significant work in the area of image denoising. After a brief introduction, some of the popular approaches are categorized into different...
Multimodal medical image fusion, as a powerful tool for the clinical applications, has developed with the advent of various imaging modalities in medical imaging. The main motivation is to capture most relevant information from sources into a single output, which plays an important role in medical diagnosis. In this paper, a novel fusion framework is proposed for multimodal medical images based on...
The electrocardiogram (ECG) is one of the most useful diagnostic tests in emergency medicine. The ECG is affected by large noises such as impulsive noise caused by muscle contraction, power-line interference, baseline drift due to respiration, and motion artifacts. To avoid misinterpreting the ECG, a simple and accurate QRS detection algorithm based on morphology instead of frequency, for the BSN...
This paper presents a novel method for protecting privacy sensitive regions inside a digital frame. The purpose is achieved by deteriorating the visual quality of privacy sensitive region by adding probability model based random noise to nonzero quantized transform coefficients of the region. The probabilistic model based noise is generated based on the information from neighboring macroblocks and...
Biometric technology deals with recognizing the uniqueness of individuals based on their exclusive Physical or behavioral characteristics. The developments in science & technology have made it possible to use biometrics in application when it is required to establish (or) confirm the identity of persons. Amongst a range of method, Iris recognition is a hastily intensifying technique of biometric...
Speckle noise is an inherent phenomenon in medical ultrasound (US) images. Since it degrades an ultrasound image quality and reduces its diagnostic value, reduction of speckle noise is a very important pre-processing step in ultrasound image processing. For this purpose, the knowledge of the statistics of speckle noise is necessary; especially in the multiresolution transform domain due to their sparse...
Artifacts involved in medical images like noise and intensity inhomogeneity makes an automated approach of segmentation failure. This paper proposed deformable model based automatic image segmentation model with above said constraints. The deformable models are sensitive to the noise and image intensities. Therefore use of non-subsampled contourlet transform is proposed to tackle these artifacts and...
In today's world peoples are clicking lots of pictures and also trying to preserve there past pictures, but as the time passes that pictures got damaged. To restore that damages like scratches, overlaid text or graphics can be remove by using technique called Image Inpainting. Images Inpainting is a set of techniques for making undetectable modifications to images. Applications of image inpainting...
Psychoacoustic studies show that the strength of masking is, among others, dependent on the tonality of the masker: the effect of noise maskers is stronger than that of tone maskers. Recently, a Partial Spectral Flatness Measure (PSFM) was introduced for tonality estimation in a psychoacoustic model for perceptual audio coding. The model consists of an Infinite Impulse Response (IIR) filterbank which...
An image as two dimensional function of spatial coordinate system and value of these discrete quantities. Imaging is logical process with noise. This noise affects significant characteristics and information of image and it is difficult to remove or efficiently reduce it. Images of biological objects acquisition through different modals as X-Ray, Ultrasound, Computed Tomography (CT), Magnetic Resonance...
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