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A novel image noise reduction filter is developed in wavelet domain. The correlations of intensity and anisotropy of wavelet coefficients in different sub-bands and scales are utilized as features to separate signal from random noise. Dynamic thresholding is used to further increase the sensitivity and discrimination against different noise patterns and standard deviations. Simulation in Matlab is...
This paper proposes a novel framework for color texture segmentation based on Discrete Reduced Biquaternion Fourier Transform (DRBFT) and Discrete Wavelet Transform (DWT). Reduced biquaternions (RB), which are an extension of the complex numbers, are used to characterize the color information. Multi-Channel wavelet filtering is used to extract the texture information at various scales from the LUV...
This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise level or the signal to noise ratio (SNR), which is usually needed in most of the popular enhancement methods. Performance of the proposed method...
In ubiquitous multimedia applications, color images are the basic components of multimedia systems. Although many research has been devoted to develop proper watermarking procedures using multiresolution-based transformation, most of these investigations faced the watermarking problem from a gray scale point of view. In this paper, different color spaces which commonly used to represent color images...
The existing denoising algorithms are usually either low-quality and computationally light (e.g., mean filtering) or high-quality and computationally expensive (e.g., nonlocal means). In this paper, we propose an algorithm for color image denoising designed between these two extremes, benefiting from lower sensitivity of the human visual system to color spatial variations. We show that our method...
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