Enhancing the quality of two dimensional signals is one of the most important factors in the fields of video surveillance and computer vision. Usually in real-life video surveillance, false detection occurs due to the presence of random noise, illumination and shadow artifacts. The detection methods based on background subtraction faces several problems in accurately detecting objects in realis...

This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale analysis and geometry. Inspired by some recent work on digital Radon transforms [1], we then present very effective and accurate numerical implementations with computational complexities of at most N logN . In the second...

ibyendu Mukherjee uanghui Wang . M. Jonathan Wu niversity of Windsor epartment of Electrical and Computer Engineering 01 Sunset Avenue indsor, Ontario, N9B 3P4 Canada -mail: [email protected] Abstract. A novel multiresolution analysis-based stereo matching method using curvelets, support weights, and disparity calibration is proposed. By introducing curvelet decomposition, we obtain the curv...

This paper presents a proposed technique for texture recognition which depends on the combination of Discrete Cosine Transform (DCT) with Fast Discrete Curvelet Transform (FDCvT) via Wrapping.The proposed technique includes two stages, the first stage is implemented by taking individual natural textures (wood, stone and grass) with several positions and calculation of the features vector (Mean ...

Obtaining seismic images with good quality in hardrock environments has been challenging. This condition applies to many mineral explorations using seismic methods including our study area where the data quality is strongly affected by soft, near-surface materials and a reflector with low contrast in rock physical properties. Until recently, no effective processing has been applied to the seism...

This paper presents some image processing techniques that can be used for radiographic image enhancement. Contrast enhancement, filtering, denoising, and interpolation processes are carried out in this paper. Contrast enhancement is carried out using adaptive histogram equalization. Filtering is carried out using median, Wiener, Lee, and Kuan filters. Wavelet and curvelet transforms are used fo...