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This paper presents a new approach for hiding message in digital image in spatial domain. In this method two bits of message is embedded in a pixel in a way that not only the least significant bit of pixel is allowed to change but also the second bit plane and fourth bit plane are allowed to be manipulated, But the point is in each embedding process only one alternation in one bit plane is allowed...
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,...
We present a new method for segmenting color images into their composite surfaces by combining color segmentation with model-based fitting utilizing sparse depth data, acquired using time-of-flight (Swissranger, PMD CamCube) and stereo techniques. The main target of our work is the segmentation of plant structures, i.e., leaves, from color-depth images, and the extraction of color and 3D shape information...
The focus of this work is on improving the recognition performance of low-resolution iris video frames acquired under varying illumination. To facilitate this, an image-level fusion scheme with modest computational requirements is proposed. The proposed algorithm uses the evidence of multiple image frames of the same iris to extract discriminatory information via the Principal Components Transform...
This paper describes a novel approach to the connected component labeling problem, derived from two fast labeling algorithms, Wu et al. and Park et al. We propose a method that improves over existing divide and conquer methods. We propose two new methods - First, hierarchical (coarse to fine) label propagation from various sub images. Second, the recursive boundary labeling method is only one neighbor...
In this paper, we propose an analysis of fractional pixels which are interpolated from integer pixels using hierarchical linear FIR filters based on a differential structure of sub-pixels. In order to improve a video quality under a limited bitrate, most of video codecs employs fractional pixels (or samples) in a process of motion compensation or motion estimation. Even though the fractional pixels...
The importance of edge fidelity in image resizing is well established. Isophotes, or connected pixels of equal intensity, are essential to human perception of static images and interpolation methods that disrupt isophote curvature produce distracting artifacts. We introduce a new image resizing algorithm based on the principles of optical flow. The optical flow equation assumes that for every pixel...
This paper proposes a cost effective frame-lock scaling engine to reduce the embedded memory size. The key technique is the H-V scaling direction interchangeable architecture. Evaluation results show that the proposed design can reduce 76% and 10% embedded memory requirements as compared with two types of conventional scaling engine.
Construction of an embedded position measurement sensor based on the real-time image processing and a low-cost CMOS image sensor is presented in this work. Position measurement task is simplified with the use of assisted videometry concept — the target object is equipped with an additional marker (active or passive). An effective implementation of algorithm for the marker position estimation for Digital...
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.
Sub-Rayleigh resolution by a factor proportional to [ln(Nmax/N)]1/2 is demonstrated through unstructured scanning of a focused classical beam across an object and dynamic application of a threshold N less than the maximum count level Nmax.
Combined with the gradient similar measure, this paper proposes a new algorithm to register the images based on registration operator. By using the bilinear interpolation to express the relationship between the image to be registered and the reference image, the method transfers the registration problem to parameter estimation. And on the basis of the revised gradient similar measure, we construct...
The 50 μm microvias of an defective embedded device were inspected non-destructively by both highly resolving microfocus computed tomography and improved digital X-ray imaging. Voids were found within the via fills and open interconnections between vias and pads were detected by the X-ray inspections. These defects could be verified and visualised in three dimensions by nanofocus CT.
In this paper, we propose a robust video super-resolution reconstruction method based on spatial-temporal orientation-adaptive kernel regression. First, we propose a robust registration efficiency model to reflect the temporal information reliability. Second, we propose a spatial-temporal steering kernel considering motions between frames and structures in each low resolution frame. Simulation results...
Double interpolation quality evaluation can be used as a measurement of an interpolation operation. By using this double interpolation framework, a high efficient direction-adaptive upsampling algorithm is proposed without any threshold setting and post-processing. With the proposed upsampling algorithm, the problem of zigzagging artifacts on the edge no longer exists. Moreover, the proposed algorithm...
A low-power and 12-bit resolution 2nd-order Σ-Δ ADC for CMOS image sensors is proposed. The proposed Σ-Δ ADC adopts the built-in correlated double sampling (CDS) technique and single-ended signaling to reduce the power consumption and chip area. The proposed Σ-Δ modulator of the ADC has the oversampling ratio (OSR) of 130 to achieve 12-bit resolution and the sampling rate of 1 0 M Hz to complete analog-to-digital...
Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing...
Many research teams have studied to make the blind see by stimulating the retina cells using electrical devices. But due to the limited number of electrodes, it needs to complement low resolution with image processing. In this paper, we tried to find the effect of image processing, especially with contrast enhancement (CE) technique. We investigated face recognition performance with three different...
Rasterization algorithms fall into two main categories, point-sampling and area-sampling. Point-sampling techniques allow for high quality reconstruction, but suffer from aliasing artifacts, time-costly to attenuate. On the other side, area-sampling, popularized by Edwin C. Catmull's Unweighted Area Sampling or UAS, is equivalent to point-sampling at an infinite rate, but reconstruction is restricted...
CBIR is a technique which aims at retrieving images which are perceptually and semantically meaningful by making the best use of a single or combination of visual content descriptors. The application domain of this technique generally excludes satellite images, but this paper explores the usability of CBIR on satellite imagery obtained from well known Indian Remote Sensing (IRS LISS III sensor) satellite...
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