Category Archives: DSP Projects

A Robust Algorithm for Shadow Removal of Foreground Detection In Video Surveillance

Abstract:

Detecting moving objects in video sequences is very important in visual surveillance. When the video images are captured with a fixed camera, background subtraction is a commonly used technique to segment moving objects. The foreground objects are identified if they differ significantly from the background. However, the detecting results of moving objects are usually under the influence of cast shadows. The existence of cast-shadows would change the shape and size of the moving objects. Because the shadows usually move along the moving objects so that they may cause false classification, which can cause various unwanted behavior such as object shape distortion and object merging.

Color Image Enhancement with a Human Visual System Based Adaptive Filter

Abstract:

Image enhancement technology is one of the basic technologies in image processing field. The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide `better’ input for other automated image processing techniques. Recent years, gray image enhancement technology has developed rapidly. These algorithms have certain effects for gray images enhancement. However, we usually deal with color images in daily life. Due to many factors, such as the limited dynamic ranges, lighting influences, and display devices, the obtained image’s quality declines, which means many important information is hard to tell by the human  eyes. Meanwhile, it is not suitable to directly use gray image enhancement technologies for color images.

IMAGE Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition

Abstract:

In this correspondence, the authors propose an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands.

Automatic Segmentation of Digital Images Applied in Cardiac Medical Images

Abstract:

Segmentation refers to the process of partitioning a digital image into multiple regions (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. The result of image segmentation is a set of regions that collectively cover the entire image. Each of the pixels in a region is similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristics. Several general-purpose algorithms and techniques have been developed for image segmentation.

VIDEO WATERMARKING USING SVD ALGORITHM

Abstract

A novel method for watermarking with a capability of lossless image recovery is proposed. The method is based on the use of deterministic one-to-one compound mappings of image pixel values for overlaying a variety of visible watermarks of arbitrary sizes on cover images. The compound mappings are proved to be reversible, which allows for lossless recovery

Number Plate Recognition for Use in Different States Using an Improved Segmentation

Abstract:

Automatic Number Plate Recognition (ANPR) is a real time embedded system which identifies the characters directly from the image of the license plate. It is an active area of research. ANPR systems are very useful to the law enforcement agencies as the need for Radio Frequency Identification tags and similar equipments are minimized. Since number plate guidelines are not strictly practiced everywhere, it often becomes difficult to correctly identify the non-standard number plate characters.

Combination Wavelet & Curvelet Based Fusion for Medical Application

Abstract: 

Image fusion is a data fusion technology which keeps images as main research contents. It refers to the techniques that integrate multi-images of the same scene from multiple image sensor data or integrate multi images of the same scene at different times from one image sensor. The image fusion algorithm based on Wavelet Transform which faster developed was a multi-resolution analysis image fusion method in recent decade. Wavelet Transform has good time-frequency characteristics. It was applied successfully in image processing field. Nevertheless, its excellent characteristic in one-dimension can’t be extended to two dimensions or multi-dimension simply.

Generic Lossless Visible Watermarking—A New Approach

Abstract

A novel method for generic visible watermarking with a capability of lossless image recovery is proposed. The method is based on the use of deterministic one-to-one compound mappings of image pixel values for overlaying a variety of visible watermarks of arbitrary sizes on cover images. The compound mappings are proved to be reversible, which allows for lossless recovery

Skin Tone based Secret Data hiding in Images

Abstract:

In this highly digitalized world, the Internet serves as an important role for data transmission and sharing. However, since it is a worldwide and publicized medium, some confidential data might be stolen, copied, modified, or destroyed by an unintended observer. Therefore, security problems become an essential issue. Although encryption achieves certain security effects, they make the secret messages unreadable and unnatural or meaningless. These unnatural messages usually attract some unintended observers’ attention. This is the reason a new security approach called “steganography” arises. Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. It does not replace cryptography but rather boosts the security using its obscurity features. Steganography method used in this paper is based on biometrics.

A Wavelet-based Framework for Face Recognition

Abstract:

Content-based indexing methods are of great interest for image and video retrieval in audio-visual archives, such as in the DiVAN project that we are currently de- velopping. Detecting and recognizing human faces auto- matically in video data provide users with powerful tools for performing queries. In this article, a new scheme for face recognition using wavelet packet decomposition is presented.

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