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A blotch is one among several artifacts that can degrade old movies which had been stored in films. Blotches are seen as randomly occurring black or white spots which are disturbing to the viewer. A novel approach to blotch removal for old movie restoration is presented in this paper. This method combines the merits of image representation using Legendre moments, warped distance interpolation and...
In this paper an effort has been made to device an algorithm for highly corrupted images. In this paper a novel Modified Weighted Based(MWB) filter has been proposed, which is based on the weighted differences between the current pixel and its neighbors aligned with four main directions. Simulations showed that the MWB filter provides optimal performances of suppressing impulse with high noise level...
In this paper, we devise a method for introducing affine invariance into the SIFT algorithm considering the addition of affine invariance property to the efficient SIFT algorithm for image matching. An intermediate step of detecting MSER in Comparison of matching performance was performed with reference to original SIFT algorithm. Other deciding factors such as execution time, number of detected interest...
The paper demonstrates a complete acquisition chain of a 300GHz to 1THz image sensor with on-chip multiplexing in a 0.13μm bulk silicon CMOS technology. The pixel consumes less than 100μW and has a responsivity of 90kV/W at 300GHz and of 1.8kV/W at 1.05THz respectively. High resolution and contrast THz images revealing the inner structure of tree leaves are presented. These results show that multi-frequency...
In low temperature polycrystalline silicon (LTPS) based display technologies, the electrical parameter variations in thin film transistors (TFTs) caused by random grain boundaries (GBs) result in significant yield loss, thereby impeding its wide deployment. In this paper, from a system and circuit design perspective, we propose a new self-repair design methodology to compensate the GB-induced variations...
A problem of interest point detection in camera images, i.e. detection of points with high information content is studied. An overview of existing techniques is given. A modified Harris-Laplace interest point detector is proposed and experimental results are given. Proposed detector generates a smaller number of detected points, resulting in less complex matching. The aim is to use interest point...
Bio-inspired infrared retina with nanoscale quantum dots and type II superlattices are reported. Predictions about the fourth generation of infrared detectors using two material systems, which are emerging as promising infrared detector technologies as prototypes. These are (i) InAs/lnGaAs self assembled quantum dots in well (DWELL) hetereostructure and lnAs/(ln,Ga)Sb strain layer superlattices (SLS)...
In decoded digital video, the local compression artifact level depends on the global compression ratio and the local video content. We describe an algorithm to create estimators of the local ringing and blocking artifact levels from the decoded video signal. Our estimators enable high quality video enhancement in consumer TV.
The interest points detection of foreground (moving) objects in videostreams is one of the key step in such applications as: path tracking, computer vision etc. The points of interest should have several features as: few interest points in each moving object, they should be well localized. This conditions are fulfilled by corners of moving objects. The requirements which desirable for a corner detectors...
The proposed classifier is a novel skin detector that outperforms most of the existing approaches by dropping most of the non-skin pixels in its earlier stages of weak classifiers. Only the pixels with maximum skin likelihood are processed in later adaptive classifier. Parametric background modelling and validation based online training significantly improves the robustness of the whole classifier...
This paper presents an algorithm for localization and classification of subtitles in TV videos. We extend an existing static-region detector with object-based adaptive filtering and binary classification of subtitle bounding boxes, using geometry and text-stroke alignment features. Compared to this static-region detector, we reduce the number of falsely detected subtitle pixels by a factor of 20,...
This paper presents a new method for accurate skin detection. Skin detection techniques are used in various image and video processing applications, such as image categorization, face detection and tracking and, more recently, in selective image enhancement for digital TV products. The proposed method achieves high accuracy using a combination of color information and pseudo-morphological processing,...
In this paper a new detection method for sonar imagery is developed for K-distributed background clutter using a finite mixture model (FMM) of K-distributions. The method for estimation of the parameters of the FMM and a generalized log-likelihood ratio test is derived. The detector is compared to the corresponding counterparts derived for the standard K-, Gaussian, and Rayleigh distributions. Test...
Wheel set wear online measurement is important for the safety running of train vehicle. Measuring principle based on structure light imaging and machine vision was put forward. The main components included structure light source, CCD and wheel detector. Calibration error of CCD and wheel detector will greatly influence the precision of the wear measurement. A calibration system was designed for the...
Non-threaded bolts are the important semi-manufactures during manufacturing hexagon-head bolts. This paper proposes a vision measurement method to measure the diameter of non-threaded bolt. On the basis of briefly introducing manufacture process, the importance of measuring non-threaded bolts is pointed out. The principle of circle detection based on hough transform is analyzed. Image acquisition...
In this paper, we present a non-supervised methodology for edge detection in color images based on belief functions and their combination. Our algorithm is based on the fusion of local edge detectors results expressed into basic belief assignments thanks to a flexible modeling, and the proportional conflict redistribution rule developed in DSmT framework. The application of this new belief-based edge...
The intensity correlation function of squeezed vacuum, produced in an OPA, was measured with a photon-number resolving multi-pixel detector (MPPC). Based on realistic MPPC model, strong photon bunching was revealed for low-gain OPA radiation.
Mobile reception of digital TV signals is typically error-prone. In multi-broadcast scenarios, inter-sequence error concealment replaces lost image blocks of distorted TV signals with error-free ones of low-resolution reference signals. As the latter are typically delayed, scaled and possibly cropped, however, spatio-temporal image alignment is crucial. Up to now, spatial alignment parameters have...
We demonstrate for the first time far-field ghost imaging with phase-sensitive classical light whose anti-phase correlation between the signal and reference beams is imposed by two spatial light modulators.
The fixed pattern noise (FPN) is an important parameter in imaging devices such as CCD or CMOS sensors that becomes more important when we consider about precision. There is no simple technique to remove FPN without any inconvenience. An algorithm is proposed which can reduce both, gain and offset FPN noise. At first the gain FPN of all pixels will be unified. Then, the same procedure applies to the...
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