噪声 Resources

Showing items tagged with "噪声"

The objective of image enhancement is to improve picture quality by increasing contrast, reducing blur and noise, and correcting geometric distortions, while image restoration is a technique that estimates the original image assuming known models of blur or noise. Image enhancement methods are categorized into frequency domain and spatial domain approaches. Frequency domain methods treat images as 2D signals and employ 2D Fourier transform for signal enhancement, with low-pass filtering to remove noise and high-pass filtering to sharpen edges. Spatial domain algorithms include local averaging and median filtering (using the median pixel value in a local neighborhood) for noise reduction.

MATLAB 281 views Tagged

Implementation of common shot gather seismic record synthesis with noise injection at various ratios, followed by wavelet transform denoising processing, achieving optimal signal-to-noise enhancement results

MATLAB 233 views Tagged

Implementation of Filtered Back Projection (FBP) algorithm for CT reconstruction, analyzing the impact of varying projection numbers, detector counts, and noise levels on reconstructed image quality, with corresponding code-based parameter configurations.

MATLAB 197 views Tagged

Image Denoising: Implement various noise types (random pixel noise, salt-and-pepper noise) and compare denoising methods including neighborhood averaging, median filtering, and image stacking with algorithmic analysis and code implementation approaches.

MATLAB 254 views Tagged

EEG (Electroencephalogram) is a bioelectrical signal that reflects brain activity. Due to its high time-varying sensitivity, EEG signals are highly susceptible to external interference during acquisition. Physiological activities such as eye movements, blinking, electrocardiogram (ECG), and electromyogram (EMG) can introduce noise (artifacts) into genuine EEG signals. This noise significantly complicates the analysis and processing of EEG data. Researchers have proposed numerous methods ranging from artifact removal techniques in EEG to noise elimination effect evaluation. This paper presents a MATLAB-based implementation for subtracting various EEG signal artifacts using algorithmic approaches.

MATLAB 235 views Tagged