A critical issue in the image restoration is the problem of de-noising images while keeping the integrity of relevant image information. A large number of image denoising techniques are proposed to remove noise. Mainly these techniques are depends upon the type of noise present in images. So image de-noising still remains a important challenge for researchers because de-noising techniques remov...

The image de-noising naturally corrupted by noise is a classical problem in the field of signal or image processing. Additive random noise can easily be removed using simple threshold methods. De-noising of natural images corrupted by Gaussian noise using wavelet techniques are very effective because of its ability to capture the energy of a signal in few energy transform values. The wavelet de...

IJSER © 2013 http://www.ijser.org Abstract — This paper presents the Wavelet based Image De-noising. The search for efficient image De-noising methods is still a valid challenge at the crossing of functional analysis and statistics using discrete wavelet transform. De-noising of stationary images corrupted by Gaussian noise using wavelet techniques is very effective because of its ability to ca...

In this paper, a discrete wavelet transform (DWT) based de-noising with its applications into the noise reduction for medical signal preprocessing is introduced. This work focuses on the hardware realization of a real-time wavelet de-noising procedure. The proposed de-noising circuit mainly consists of three modules: a DWT, a thresholding, and an inverse DWT (IDWT) modular circuits. We also pro...

De-noising plays a crucial role in the post-processing of spectra. Machine learning-based methods show good performance extracting intrinsic information from noisy data, but often require high-quality training set that is typically inaccessible real experimental measurements. Here, using spectra angle-resolved photoemission spectroscopy (ARPES) as an example, we develop de-noising method for sp...

Active infrared thermography is an attractive and highly reliable technique used for the non-destructive evaluation of test objects. In this paper, defect detection on subsurface STS304 metal specimen was performed by applying line-scanning method to induction thermography. general, camera are fixed in thermography, but can excite a uniform heat source because relative movement occurs. After th...

In order to preserve the integrity of edge and detail information in the underwater image, a NSCT de-noising method based on Non-local means with modified parameter is proposed. Since NSCT has the feature of translation invariance, it is used to decompose the underwater image in multi-scale and multi-direction. For the noise and detail information are normally distributed in the high frequency ...

The Phase-Locked Loop is used to track an incoming signal and provide accurate carrier phase measurements on GPS receivers. However, the PLL performance is affected by the thermal noise and dynamic stress. In order to resolve the conflict between reducing PLL noise and overcoming the dynamic stress, some compromises must be taken in PLL design. This paper proposes a wavelet packet de-noising te...