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Combining the static feature and the dynamic path in consecutive image array of small targets, this paper proposes a detecting method for small targets in sonar image: Improving the selection of (SRG) seeded region growing method, and defining the size of searching sub window, this paper realizes the selection of suspected targets in single image that have certain SRR (signal-to-reverberation ratio),...
The maximization of mutual information has been very successful at the registration of images. Unfortunately, mutual information takes only into account the relationship between individual pixels and not those of each pixel's neighborhood. Mutual information ignores spatial information. In this paper, we propose a new similarity metric called enhanced mutual information (EMI), which combines mutual...
Previously, we proposed a learning-based super-resolution method using the TV regularization method, which significantly reduced image processing time by removing database redundancy. However, there was a problem when noise appeared in reconstructed images because of an excessive reduction in database redundancy. In this paper, we propose a new learning-based super-resolution method, where noise is...
In this paper, we propose an effective image compression noise reduction system based on the total variation (TV) regularization method. Our system allows the removal of MPEG-2 compression noise such as mosquito noise and blocky noise without losing picture sharpness. This method is particularly useful for HDTV terrestrial broadcasting with insufficient transmission bandwidth for noise-free HDTV pictures...
In this paper, a 320×240 pixel, 80 frame/s CMOS image sensor with a low power dual correlated double sampling (CDS) scheme is presented. A novel 8-bit hold-and-go counter in each column is proposed to obtain a 10-bit resolution. Furthermore, dual CDS and a configurable counter scheme are also discussed to realize efficient power reduction. With these techniques, the digital counter consumes at least...
In change detection analysis, it is important to reduce the influence of image misalignment in order to produce image changes that are relevant to the user. The accuracy of change detection solely depends on the image registration accuracy yet image misalignment is still a major challenge in change detection analysis. In change detection analysis, if change detection is performed on misaligned images,...
The low resolution of images has been one of the major limitations in recognising humans from a distance using their biometric traits, such as face and iris. Superresolution has been employed to improve the resolution and the recognition performance simultaneously, however the majority of techniques employed operate in the pixel domain, such that the biometric feature vectors are extracted from a...
Mechanical and electrical noise in nanopositioning systems is unavoidable and dictates the maximum positioning resolution. The proper specification of resolution is critical for defining the smallest possible dimensions in a manufacturing processes or the smallest measurable features in an imaging application. This article defines a standard for the reporting of resolution and demonstrates how this...
Ultrasound image resolution enhancement is an ongoing challenge to date. Though many works have been performed using device-based approach, there exists few works dealing with post-processing methods. This paper investigates a technique based on the Alternating Direction Method of Multipliers for the resolution enhancement in ultrasound imaging, which includes the deblurring and denoising tasks. We...
Super-resolution image reconstruction is a technique to reconstruct a high resolution image from a set of blurred and noisy low resolution images of a scene. Over recent years different methods have been introduced to increase the resolution of an image. Optimization algorithms based on swarm-intelligence have been developed and applied to various engineering fields for several decades. Process of...
An objective of this paper is to present the development progress of a high performance CMOS imager with one new analog to digital converter (ADC) scheme of maximal 13bit variable resolution and reducing the clipped noise. The response probability of human's eyes from dark to light is normal distribution in the region of [-1+σ, 1-σ]. In the interested region of human's eyes [-1+σ, 1-σ] there is a...
In this paper, a novel blind and robust image watermarking algorithm based on Region of Interest (ROI) in Discrete Wavelet Transform (DWT) domain is proposed. In a watermarking scheme, watermark generation from the content of the image can improve the invisibility and robustness of the scheme. So in this paper, the ROI of original image is extracted and used as watermark image. Then, 1-level DWT is...
The X-ray image intensifier is a kind of photoelectric imaging product, and the device can be widely used in many fields based on its perfectly comprehensive performance. But its resolution is very low, which impose restrictions on its practical application in many fields. This paper analyses the theory of X-ray image intensifier and the principle of image formation, what is more the paper also analyses...
Speckle imaging technique is one of the several effective approaches, which can overcome atmosphere turbulence effects to improve resolution power of the ground-based telescope. It has been widely used in the astronomical observation research. The observation experiments using this technique have been made on 1.56-m telescope with an EMCCD speckle camera at SHAO. Results are presented from a series...
A new scheme for detection of moving targets and estimation of the azimuth velocity components in a single complex-valued synthetic aperture radar (SAR) imagery is presented in this paper based on the symmetric Doppler rate matched (SDRM) filter pairs. An SDRM filter pair processes a given SAR imagery and achieves two defocused SAR images that have the same defocused background but different defocused...
Every year, one million people dies from Hepatitis B virus. As for other viruses, its genetic material is enclosed by a capsid whose segmentation and classification is essential. In this paper, we present a novel capsid segmentation technique which is a combination of a “à trous” wavelet process (for background filtering) and a graph-based structure (for segmentation and classification). Capsids were...
In this paper we propose a blind deconvolution algorithm for wide field fluorescence microscopy. The 3D PSF is modeled after a parametrized pupil function. The PSF parameters are estimated jointly with the object in a maximum a posteriori framework. We illustrate the performances of our algorithm on experimental data and show significant resolution improvement notably along the depth. Quantitative...
In this paper, a new two-step method is proposed to infer a high-quality and high-resolution (HR) face image from a low-quality and low-resolution (LR) observation based on training samples in the database. First, a global face image is reconstructed based on the non-linear relationship between LR and HR face images, which is established according to radial basis function and partial least squares...
In multi-slice magnetic resonance imaging (MRI) the resolution in the slice direction is usually reduced to allow faster acquisition times and to reduce the amount of noise in each 2-D slice. In this paper, a novel image super resolution (SR) algorithm is presented that is used to improve the resolution of the 3D MRI volumes in the slice direction. The proposed SR algorithm uses a complex wavelet-based...
The demand for high-quality and high-speed imaging has increased. Column-parallel ≥14b A/D conversion is one of the major approaches to meet these requirements in CMOS image sensors (CIS). Oversampling ADCs such as incremental delta-sigma (I-ΔΣ) ADCs are the solution for a high-resolution ADC having tolerance of analog component errors. Oversampling reduces input temporal noise as well as the quantization...
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