image Classification is the basis of Computer vision. Classification with image data finds a variety of applications in various fields. A comparative study of Classifying the images in the compressed and uncompressed ...
详细信息
In response to the difficulties in obtaining data and high-error data in current hydrogeological surveys, this article uses high-resolution satellite imageprocessing to capture wastewater characteristics based on the...
详细信息
ISBN:
(纸本)9798400718144
In response to the difficulties in obtaining data and high-error data in current hydrogeological surveys, this article uses high-resolution satellite imageprocessing to capture wastewater characteristics based on the principle of remote sensing reflectance. The automatic threshold selection algorithm determines the optimal threshold for extracting wastewater information and establishes a model for identifying wastewater, achieving the purpose of better identification of water quality. This article uses drones to capture geological images for processing. Based on two-dimensional wavelet transform, remote sensing images are divided into four sub bands and filtered. The four sub bands can be input into the residual network learning algorithm to obtain high-quality four new sub bands, and finally transformed into a complete high-quality remote sensing geological image through inverse two-dimensional wavelet transform, achieving the purpose of better identification of water quality. The results show that the wastewater recognition model can accurately identify wastewater according to the characteristics that the reflectance of wastewater water in blue. Green and red wavelengths is lower than that of normal water, while the reflectance in infrared wavelengths is higher than that of normal water. The peak signal-to-noise ratio and mean square error of the residual learning network algorithm using two-dimensional wavelet transform for geological remote sensing images are 28.12 and 0.051, which are the best compared with the other two methods, indicating that the image quality after processing is high.
The work is aimed on the development of advanced algorithms for analyzing the photoplethysmogram signal, which characterizes cardiac activity. We have designed an algorithm that separates individual pulse waveforms fr...
详细信息
Point clouds in 3D applications frequently experience quality degradation during processing, e.g., scanning and compression. Reliable point cloud quality assessment (PCQA) is important for developing compression algor...
详细信息
ISBN:
(纸本)9798350349405;9798350349399
Point clouds in 3D applications frequently experience quality degradation during processing, e.g., scanning and compression. Reliable point cloud quality assessment (PCQA) is important for developing compression algorithms with good bitrate-quality trade-offs and techniques for quality improvement (e.g., denoising). This paper introduces a full-reference (FR) PCQA method utilizing spectral graph wavelets (SGWs). First, we propose novel SGW-based PCQA metrics that compare SGW coefficients of coordinate and color signals between reference and distorted point clouds. Second, we achieve accurate PCQA by integrating several conventional FR metrics and our SGW-based metrics using support vector regression. To our knowledge, this is the first study to introduce SGWs for PCQA. Experimental results demonstrate the proposed PCQA metric is more accurately correlated with subjective quality scores compared to conventional PCQA metrics.
wavelet transform is a new time-frequency domain analysis tool after Fourier transform. wavelet analysis has very important applications in imageprocessing, including image compression, image denoising, image fusion,...
详细信息
In this research, we propose a neat dual-tampering detection approach to further retrieve the forged content of 1080p images. The recovering of actual information is derived from the low-frequency components of the se...
详细信息
wavelet analysis, a computational method, decomposes data into frequency components, analyzed by scale, effective for signals with discontinuities. Originating from diverse fields like mathematics, physics, and engine...
详细信息
This study presents a feature-driven fusion method for combining thermal and visible images in facial analysis, leveraging morphological and gradient operations to enhance image quality and information content. By int...
详细信息
ISBN:
(纸本)9798350350661;9798350350654
This study presents a feature-driven fusion method for combining thermal and visible images in facial analysis, leveraging morphological and gradient operations to enhance image quality and information content. By integrating diverse features, including structural components and edge details, the proposed fusion technique offers a comprehensive representation of input images, surpassing traditional methods like Discrete wavelet Transform (DWT) based image fusion. Performance evaluation using metrics such as Peak signal-to-Noise Ratio (PSNR) and Spatial Frequency (SF) demonstrates the superior quality and enhanced texture details achieved through the feature fusion approach. This proposed fusion technique not only enhances visual quality but also enriches the fused images with detailed information, highlighting its potential for various applications in imageprocessing and analysis.
Noise as an unwanted interference can significantly degrade speech signals, especially those recorded by many microphones. This interference is modeled as additive noise that originates from a range of sources includi...
详细信息
This review paper explores the fundamental importance of fractional wavelet filter (FrWF) and discrete wavelet transform (DWT) techniques in signalprocessing. These techniques are thoroughly examined and serve as the...
详细信息
暂无评论