BACKGROUND Ultrasound imaging plays an important role in computer diagnosis since it is non-invasive and cost-effective. However, ultrasound images are inevitably contaminated by noise and speckle during acquisition. Noise and speckle directly impact the physician to interpret the images and decrease the accuracy in clinical diagnosis. Denoising method is an important component to enhance the q...

Due to the capability of producing a high-resolution image under all weather conditions, SAR (synthetic aperture radar) is a very powerful and attractive tool for remote sensing. Since SAR systems generate images by coherent processing of the scattered signals, they are susceptible to speckle noise. Speckle noise is multiplicative so the presence of speckle noise hinders a human observer from a...

The correlation properties of speckle fields are studied for general paraxial systems. The previous studies on lateral and longitudinal speckle size for the case of free-space propagation (Fresnel transform) are generalized to the case of the linear canonical transform. These results have implications for the control of speckle size, through appropriate design of optical systems, with particula...

We consider the registration of successive images over a cardiac ultrasound sequence. A key challenge is speckle. We suggest that, for practical purposes, speckle should be regarded as the sum of two components: the useful, temporally correlated speckle pattern; and speckle noise, which is the unpredictable change in the speckle pattern. We also propose that an increase in robustness can be obt...

In a multi-disciplinary effort, we investigate the level of speckle that can be tolerated in a laser cinema projector based on a quality of experience experiment with movie clips shown to a test audience in a real-life movie theatre setting. We identify a speckle disturbance threshold by statistically analyzing the observers' responses for different values of the amount of speckle, which was mo...

In image processing, image is corrupted by different type of noises. But generally medical image is corrupted by speckle noise. So image de-noising has become a very essential exercise all through the diagnose. Noises are of two type additive and multiplicative noise. Speckle noise is multiplicative noise, so it’s difficult to remove the multiplicative noise as compared to additive noise. The t...