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In mobile object recognition (OR) applications, the power consumption of image sensor and data communication between image sensor and digital OR processor becomes crucial as digital OR processor consumes less power in deep sub-micron process. To reduce the amount of data transaction from image sensor to digital OR processor, digital/analog mixed-signal focal-plane processing of Binary Robust Invariant...
A tool developed for simulating RADARSAT-2 (RS2) Maritime Satellite Surveillance Radar (MSSR) mode data from higher resolution data is described. RS2 Fine and Fine Quad images containing validated ship and iceberg targets were resampled to low resolution ScanSAR Narrow (SCN) and MSSR mode data. This tool can be adopted to use other image modes as inputs and simulate other outputs as well and the simulated...
A new nonlinear iterative average filtering technique for removing random impulse noise from images is presented. It can be used for both grayscale and color images. Filtering results of the standard test images and comparisons with results of other denoising methods are presented. The authors' approach offers especially good results for strongly corrupted images (corruption pixel ratio above 40%).
The tau-p transform is one of the important techniques to eliminate coherent noises and separate wave fields. Operator aliasing artifacts and edge effect artifacts affect its resolution. Therefore, conventional tau-p transform can't be used simply. This paper presents a new non-iteration high-resolution tau-p transform procedure, which can suppress aliasing artifacts and edge effect artifacts simultaneously,...
Recently, image denoising using the wavelet transform has been attracting much attention. Wavelet based approach provides a particularly useful method for image denoising when the preservation of image features in the scene is of importance. In this paper, we propose a novel denoising method for removing additive noise present in the underwater images. In addition to scattering and absorption effects,...
Ultrasound elastography is a kind of technique of obtaining the tissue relative stiffness information, which plays an important role in early tumor diagnosis. The increases in overlap between the data segments on the order of 90% or higher are essential to improve axial resolution in elastogaphy. However, correlated errors in displacement estimates increase dramatically with the increase in the overlap,...
This paper presents a novel method to extract the features of space domain from iris image, which uses gray scale morphological filtering. It is well known that the skeleton which shows the features of images is extracted from binary images by morphological filtering. The skeleton of gray scale images can be also extracted by gray-scale morphological filtering. In order to extract the features of...
In this paper, we propose a novel super-resolution image reconstruction algorithm to handle license plate texts in real traffic videos. A generalized discontinuity adaptive Markov random field (DAMRF) model is proposed based on the recently reported bilateral filtering, which is not only edge preservation but also robust to noise. Moreover, instead of looking for fixed value for the regularization...
Images captured from digital camera suffer noise due to high sensor gain under dark conditions. Furthermore, camera-shake is unavoidable when exposure time is long enough to have desirable SNR. This paper presents an image capturing method that enhances image quality in low-light environments by fusing visible-band (400 ~ 700 nm) image and wide-band (400 ~ 1000 nm) image. Wide-band image has lower...
In this paper, improvements to non-local means (NLM) image denoising method is proposed to reduce the computational complexity. In the original NLM algorithm, neighborhood weightages are computed using the window similarity technique. The proposed technique replaces the window similarity by a modified multi-resolution based approach with much fewer comparisons rather than all pixels comparison. This...
The framework of this study is focused on automatic fast recognition of agricultural interest for TerraSAR-X images. The intended goal is to label regions in an image as fast as possible, into classes significant for a given application, like crop classification. First, a filtering technique is applied to obtain the restored image. Then, two different methods of unsupervised segmentation are used...
The investigation of cellular aspects of bone tissue is generally performed from 2D microscopic techniques. Recent advances in Synchrotron Radiation Micro-CT allow to image biological samples at a sub-micrometric scale. In this paper, we propose to study the feasibility of this technique to study the bone lacuno-canalicular system, consisting in a complex network of thin canaliculi (diameter ~500...
A multiscale segmentation method is proposed for multispectral imagery of high resolution by combining an adapted watershed algorithm and a region merging algorithm. Before the preliminary segmentation by the adapted watershed algorithm, a filtering method and a method for getting rid of local minimum areas are imposed to avoid over-segmentation. The whole process can be divided into five steps as...
This paper proposes efficient and robust methods for tracking a moving object at multiple spatial and temporal resolution levels. The efficiency comes from optimising the amounts of spatial and temporal data processed. The robustness results from multi-level coarse-to-fine state-space searching. Tracking across resolution levels incurs an accuracy-versus-speed trade-off. For example, tracking at higher...
In this paper, we propose a new method to reconstruct high resolution images from structured illumination microscopy. It consists of estimating the illumination pattern parameters with a multiscale analysis in the Fourier domain and filtering the significative features with a statistical test. Our method is fast and automatic, aiming at being computationally effective for in vivo biomedical applications.
The paper proposes a 2D impulse filtering algorithm for the restoration of impulse corrupted digital images. The algorithm incorporates a quad-tree decomposition stage to facilitate pixel classification in the impulse detection phase and an efficient adaptive filtering scheme in the restoration phase. The impulse detection scheme of the algorithm avoids mis-classification of signals as impulses by...
The efficiency of real-time digital image processing operations has an important impact on the cost and realizability of complex algorithms. Global motion estimation is an example of such a complex algorithm. Most digital image processing is carried out with a precision of 8 bits per pixel, however there has always been interest in low-complexity algorithms. One way of achieving low complexity is...
In this paper, an adaptive image subbanding method is proposed for high-frequency pixel estimation. The similarity relation between a pixel and its top, down, right and left pixels is exploited to derive adaptive thresholds for classification of different high-frequency bands. Then, high-frequency pixel detection can be applied to estimate impulse-noise ratio in order to select the appropriate working...
In this Paper we have presented a Fingerprint verification system based on hybrid approach which combines both the Feature extraction by applying a set of different wavelet families (functions) and minutiae information available in the fingerprint image by fusion rule method. The Core Point (CP) of the input Fingerprint is detected. Keeping the CP in the center,the image of size w x w is cropped and...
This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise level or the signal to noise ratio (SNR), which is usually needed in most of the popular enhancement methods. Performance of the proposed method...
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