Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. A novel and efficient SAR image despeckling algorithm based on Directionlet transform using bivariate shrinkage is proposed to remove speckle noise while preserving the structural features and textural information of the scene. First, a...

Abstract— This paper presents a review of wavelet thresholding techniques for despeckling of medical ultrasound images. An ultrasound image is first transformed into wavelet domain and then the wavelet coefficients are processed by different wavelet thresholding techniques. The denoised image is obtained by taking the inverse wavelet transform of the modified wavelet coefficients. The performan...

Speckle is a random multiplicative noise which obscures the perception and extraction of fine details in ultrasound image and despeckling is necessary to improve the visual quality for better diagnoses. Preliminary treatment of images before segmentation and classification includes despeckling as one of the important steps. This paper aims at introducing the possible range of image speckle corr...

Ultrasound images have an inherent property termed as speckle noise that is the outcome of interference between incident and reflected ultrasound waves which reduce image resolution contrast could lead to improper diagnosis any disease. In different approaches for reducing noise, there exists a class filters convert multiplicative into additive by using algorithmic functions. The current study ...

Image databases and benchmarks are precious tools to assess the quality of competing algorithms and to fine tune their parameters. In some cases, however, quality cannot be captured by a single measure, and several of them, providing typically contrasting indications, must be computed and analyzed. This is certainly the case for the SAR despeckling field, also because of the lack of clean refer...

Ultrasound images are prone to speckle noises. Speckles blur features which are essential for diagnosis and assessment. Thus despeckling is a necessity in ultrasound image processing. Linear filters can suppress speckles, but they smooth out features. Median filter based despeckling algorithms produce better results. However, they may produce artifact patterns in the resulted images and oversmo...