Abstract The transformer, a type of neural architecture, has demonstrated exceptional performance improvements in vision and natural language tasks. While overcoming the disadvantages limited perceptual field non‐adaptive input content exhibited CNNs, computational complexity Transformer model increases quadratically with spatial resolution. As such, this is not frequently employed image proces...

Synthetic aperture radar (SAR) images due to the usage of coherent imaging systems are affected by speckle. So lots of despeckling filters have been introduced up to now to suppress the speckle. Hence, objective and subjective evaluation of the denoised SAR images becomes a necessity. Thereby lots of objective evaluating estimators are introduced to evaluate the performance of despeckling filte...

In image processing, removal of speckle noise from a satellite is challenging task for the researchers. There are various approaches reduction. Generally, noises scattered, in images, medical images and synthetic aperture radar (SAR) images. This paper introduces bidimensional empirical mode decomposition (BEMD)-based adaptive filtering method despeckling SAR image. The noisy decomposed into di...

DOI 10.1007/978-1-4419-7222-4_7, © Springer Science+Business Media, LLC 2011 Abstract It is well known that speckle is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. This necessitates the need for robust despeckling techniques for both routine clinical practice and tele-consultation. The recent advancements in ultrasound instrumentation and portable ultrasound...