Tongue diagnosis is one of the most important examinations in traditional Chinese medicine. Tongue images are often corrupted by various noises, but the subsequent diagnosis requires that the tongue images are clean, clear and noise-free. Thus, tongue image denoising is the vital preprocessing step in tongue diagnosis. A comparative study of tongue image denoising methods is given in this work,...

Noise removal is an important task inside the image processing area. In this paper, an algorithm for reducing salt and pepper noise and improving the restoration quality through refinement is presented. This algorithm proposes a double screen. As a first step, the algorithm computes an estimation of the denoised image by using an adaptive median filter. Then, the Non-Local Means algorithm is us...

Systems introduce noise into images. Spatial Filtering is required to reduce or eliminate the noise content and improve peak signal to noise ratio (PSNR). Spatial filtering is based on the assumption that noise has a high spatial frequency and, therefore, can be attenuated by a local operation which makes each pixel's intensity roughly consistent with those of its nearest neighbours. The develo...

In this digital world, due to faulty sensors, storage, and channels images videos are often corrupted by impulse noise, which is a frequently occurring noise type in an image. Impulse noise are classified into fixed valued (salt and pepper noise) and random valued impulse noise. This paper proposes an effective noise reduction method for images corrupted by the random valued impulse noise, hand...

The images usually contain different types of noises while processing, coding etc. Image usually contains noise because of poor transmission purposes. As a result, it produces bad image which is difficult for processing purposes. The currently available methods are usually based on wavelet transformation. Some of these methods still have problem in tackling with noise. This paper presents an ar...

Abstract Efficiency of noise removing algorithms depends on two main parameters first one is how accurately it identify the noisy pixels and second one is how much accurately it calculate the replacing value for noisy pixels. This Paper presents highly efficient algorithm to detect impulse noise (salt and pepper) up to 99% of noise ratio. Experimental results shows efficiency of algorithm is mo...

In this paper, a robust watermarking scheme using optimization watermarking technique is proposed. In the proposed scheme, the watermark image is to embed in the SCS transform domain. The advantage is that they are able to detect malicious tampering while being robust against content-preserving processes such as compression, filtering and Salt and pepper noise, and we plotted graphs for average...

Gaussian filter has been used extensively in signal image processing for many years. Gaussian or Gaussian derivative filtering is in several ways optimal for applications requiring low-pass filters or running averages. In this paper, a highly efficient noise removing technique based on a modified dynamic Gaussian filter is introduced. Called smooth filter, the Gaussian filter is known to be mor...

Image watermarking has become an important tool for intellectual property protection and authentication. In this paper a watermarking technique is suggested that incorporates two watermarks in a host image for improved protection and robustness. A watermark, in form of a PN sequence (will be called the secondary watermark), is embedded in the wavelet domain of a primary watermark before being e...

In this study; medical images were denoising with multiresolution analyses using real-valued wavelet transform (RVWT), complex-valued wavelet transform (CVWT), ridgelet transform (RT), real-valued first-generation curvelet transform (RVFG CT), real-valued second-generation curvelet transform (RVSG CT), complex-valued second-generation curvelet transform (CVSG CT) and results are compared. First...