Speckle reduction in double-pass retinal images

Speckle Noise Reduction for the Enhancement of Retinal Layers in Optical Coherence Tomography Images

Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...

speckle noise reduction for the enhancement of retinal layers in optical coherence tomography images

introduction one of the most important pre-processing steps in optical coherence tomography (oct) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of oct images. materials and methods the present study focused on speckle noise reduction and edge detection techniques. statistical filters with different masks and noise variances were applied on ...

Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution

Speckle is a granular noise-like phenomenon which appears in Synthetic Aperture Radar (SAR) images due to coherent properties of SAR systems. The presence of speckle complicates both human and automatic analysis of SAR images. As a result, speckle reduction is an important preprocessing step for many SAR remote sensing applications. Speckle reduction can be made through multi-looking during the...

Speckle Noise Reduction in Medical Ultrasound Images

Speckle Noise Reduction in Ultrasound Images

Ultrasound imaging is a widely used medical imaging modality because it is safe, allows real-time visualization of moving structures, and is relatively inexpensive. But the major issue with ultrasound images is the presence of speckle noise, which is an inherent limitation of ultrasound images. Various filters are used to reduce the speckle noise and to enhance the quality of the image. This wo...