This paper presents a new VLSI architecture for computing the Npoint discrete Fourier transform (DFT) of real data and the corresponding inverse (IDFT) based on the discrete Hartley transform, where N is a power of two. The architecture includes two real multipliers, three real adders, six memory-based buffers, two ROM’s, and some simple logic circuits, making itself suitable for single-chip im...

Image fusion is defined as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely Spatial Fusion and Transform fusion. In Spatial fusion, the pixel values from the source images are directly summed up and taken average to form the pixel of the c...

Image fusion is defined as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely Spatial Fusion and Transform fusion. In Spatial fusion, the pixel values from the source images are directly summed up and taken average to form the pixel of the c...

In this paper, we propose the Modulation Scale Spectrum as an extension of the Modulation Spectrum through the Scale domain. The Modulation Spectrum expresses the evolution over time of the amplitude content of various frequency bands by a second Fourier Transform. While its use has been proven for many applications, it is not scale-invariant. Because of this, we propose the use of the Scale Tr...

Visual annotation is still an open issue. The Content Based community admits that a plurality of features and systems shall be considered. We present in this paper four very different strategies using not only visual information but also text, to implement ImageCLEF2009 Photo Annotation Task. The visual features are various, such as HSV, Gabor, EDGE, SIFT, and some more recent. Then we study ea...

A method for detecting an abnormal object in video images is proposed. We define abnormal object as an object that does not appear in usual scenes. The detection system is trained with video images of usual scenes, and then detects abnormal objects in new input video images. The proposed method detects an abnormal object by assuming an object as a set of local features and ignoring the position...

This paper proposes a high-precision, high-speed keypoint matching method using two-stage randomized trees (RTs). The keypoint classification uses conventional RTs for high-precision, real-time keypoint matching. However, the wide variety of view transformations for templates expressed by RTs make it diffidult to achieve high-precision classification for all transformations with a single RTs. T...