… Here we just focus on removing the random-valued impulse noise from the corrupted image.
… On the denoising topic, we propose an efficient denoising scheme and its VLSI architecture …

… imaging is then provided. These include biomedical image processing algorithms as noise
reduction, image enhancement and detection of micro calcifications in mammograms, image …

… of still images. Although the JPEG2000 codec is designed to compress images, we illustrate
… to JPEG2000, including JPEG compressing architecture and its application to ECG signals. …

… This process rejects the image … noise performance by digitally noise-shaping techniques,
as shown in Fig. 3.8 [15]. The DSM architecture used in this paper terms as a Multistage Noise …

… In this paper, we focus on our proposed U2IoT architecture (ie, unit and ubiquitous IoT) [4], …
brain uses images as representation of experience and knowledge. The images covers the …

… Figureure 3.7 illustrates the output of the LoG filter on the image of Lena compared to the
original image. Note that the noise components are much higher than Figure 3.4 shows, which …

… of this innovative mobile wireless brain imaging technology in neuroscience and neuro-…
realistic driving tasks in the virtual-reality-based dynamic driving simulator; (2) the efficacy and …

… analysis using gabor filter based on transcranial sonography image // … Classification of
hyperspectral data by decision trees and … Use of FPGA or GPU-based architectures for remotely …

… to achieve high spatial and temporal image of brain activity. … neighbor, neural networks,
decision trees, and support vector … the overall system architecture for our classification system …

… The storage of the Fourier holograms instead of image holograms serves a similar … reduction,
candidate reduction, and addition reduction. For generality, this research architecture has …