In recent years,it has been evident that internet is the most effective means of transmitting information in the form of documents,photographs,or videos around the *** purpose of an image compression method is to enco...
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In recent years,it has been evident that internet is the most effective means of transmitting information in the form of documents,photographs,or videos around the *** purpose of an image compression method is to encode a picture with fewer bits while retaining the decompressed image’s visual *** transmission,this massive data necessitates a lot of channel *** order to overcome this problem,an effective visual compression approach is required to resize this large amount of *** work is based on lossy image compression and is offered for static color *** quantization procedure determines the compressed data quality *** images are converted from RGB to International Commission on Illumination CIE La^(∗)b^(∗);and YCbCr color spaces before being *** the transform domain,the color planes are encoded using the proposed quantization *** improve the efficiency and quality of the compressed image,the standard quantization matrix is updated with the respective image *** used seven discrete orthogonal transforms,including five variations of the Complex Hadamard Transform,Discrete Fourier Transform and Discrete Cosine Transform,as well as thresholding,quantization,de-quantization and inverse discrete orthogonal transforms with CIE La^(∗)b^(∗);and YCbCr to RGB *** to signal noise ratio,signal to noise ratio,picture similarity index and compression ratio are all used to assess the quality of compressed *** the relevant transforms,the image size and bits per pixel are also *** the(n,n)block of transform,adaptive scanning is used to acquire the best feasible compression *** of these characteristics,multimedia systems and services have a wide range of possible applications.
Mining excavation refers to the process of extracting metals, coal, diamonds, oil, natural gas, and other rare geological substances from the underground. The mining industry involves many aspects of safety and enviro...
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This research presents a machine-learning framework for predicting depression severity by leveraging Multiple-Choice Questions (MCQs) and transcribed audio data. Two distinct data sources are employed, with regression...
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Intrusion Detection Systems are essential for protecting industrial networks, critical infrastructure, and corporate environments against deliberate cyber-Attacks. Nevertheless, a notable obstacle in contemporary intr...
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Job Shop Scheduling Problem (JSP) is common in modern factories, but traditional dispatching rules (DR) and heuristic algorithms (HA) struggle with the increasing complexity of manufacturing processes. In this paper, ...
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A novel color image encryption scheme is developed to enhance the security of encryption without increasing the complexity. Firstly, the plain color image is decomposed into three grayscale plain images, which are con...
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A novel color image encryption scheme is developed to enhance the security of encryption without increasing the complexity. Firstly, the plain color image is decomposed into three grayscale plain images, which are converted into the frequency domain coefficient matrices(FDCM) with discrete cosine transform(DCT) operation. After that, a twodimensional(2D) coupled chaotic system is developed and used to generate one group of embedded matrices and another group of encryption matrices, respectively. The embedded matrices are integrated with the FDCM to fulfill the frequency domain encryption, and then the inverse DCT processing is implemented to recover the spatial domain signal. Eventually,under the function of the encryption matrices and the proposed diagonal scrambling algorithm, the final color ciphertext is obtained. The experimental results show that the proposed method can not only ensure efficient encryption but also satisfy various sizes of image encryption. Besides, it has better performance than other similar techniques in statistical feature analysis, such as key space, key sensitivity, anti-differential attack, information entropy, noise attack, etc.
To address the challenges of finding an ideal balance between computational redundancy, accuracy, parameter count, and computational complexity in existing pedestrian fall detection algorithms, this paper proposes a l...
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To address the limitations of the Part-A2 3D point cloud object detection model in multi-scale feature extraction and global feature fusion, which hinder the simultaneous capture of fine-grained and coarse-grained fea...
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In the process of software development, developers often face a large number of APIs. However, due to the numerous APIs and issues such as missing or incorrect documentation, developers find it difficult to learn and ...
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Network Intrusion Detection Systems (NIDS) play a critical role in safeguarding computer networks against malicious activities and cyber threats. To improve the accuracy and robustness of NIDS, this research explores ...
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