This article presents a comprehensive overview of imageprocessing techniques for low-altitude target recognition. The analysis includes various algorithms that incorporate shape, texture, and motion features, highlig...
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In this paper we propose an optimized version of the PCA algorithm by using genetic algorithms and the KNN technique with applications in the classification of image classes. The algorithm are developed by optimizing ...
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Using CNN for style transfer is a powerful imageprocessing technique. The goal of style transfer is to apply the style of one image to another image, creating a new image that retains the content of the original imag...
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Perceptual hashing, which generates a message digest showing how humans perceive similarity in images, is suitable for ensuring the equivalence between a modified/edited image and the original. Conventional perceptual...
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ISBN:
(纸本)9798350326970
Perceptual hashing, which generates a message digest showing how humans perceive similarity in images, is suitable for ensuring the equivalence between a modified/edited image and the original. Conventional perceptual hashing is mainly utilized for similarity-based image retrieval and is not appropriate for image identification, which is required in security systems such as digital rights management. We previously developed a construction method for perceptual hashing in security systems that utilizes a convolutional neural network (CNN). In practical applications, multiple different images are published in various media forms (e.g., articles or books), so generating an identical message digest for each of these images simultaneously makes content management easier. Therefore, in this work we extend our earlier CNN-based perceptual hashing scheme so that it can generate an identical message digest for images in a group. This approach reduces the computational cost for fine-tuning CNN compared to generating a perceptual hash for each image in a group individually.
Cheapfakes can compromise the integrity of information and erode trust in multimedia content, making their detection critical. Identifying Out of Context misuse of media is essential to prevent the spread of misinform...
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Wind turbine clearance refers to the minimum distance that must be maintained between the rotating blades of the wind turbine and the tower where the blades are installed. This clearance is very important to ensure th...
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The existing anti-tampering image digital watermarking algorithms are difficult to balance the performance of watermarked image quality, tampering detection and localization. The paper proposes an efficient anti-tampe...
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Research in solar energy has rapidly grown since its significant and contributes to the advancement in clean renewable energy technology. Effective energy management such as fault detection impacts the early-stage mon...
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ISBN:
(纸本)9781665475013
Research in solar energy has rapidly grown since its significant and contributes to the advancement in clean renewable energy technology. Effective energy management such as fault detection impacts the early-stage monitoring for the efficiency, reliability, and safety of solar photovoltaic (PV) systems. The formation of a hotspot is one of the issues commonly occurred in a PV system. However, the main limitation of hotspot detection is the difficulty to interpret specific components with erratic temperatures in the thermographic images for attributes in the intelligence detection model. In this study, a review of hotspot detection in solar PV panels using the imageprocessing method is established based on the imageprocessing field. The integration of imageprocessing approach can further assist in developing automated fault detection in solar PV farms for effective preventive monitoring methods. Therefore, several aspects need to be categorized and considered accordingly for achieving accurate prediction. Several ways were discussed, and future research is suggested in this study.
In major NFT marketplaces, digital image contents such as illustrations and photographs generally reside off-chain due to cost, performance, and privacy concerns. InterPlanetary File System (IPFS), a decentralized sto...
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ISBN:
(纸本)9781665491303
In major NFT marketplaces, digital image contents such as illustrations and photographs generally reside off-chain due to cost, performance, and privacy concerns. InterPlanetary File System (IPFS), a decentralized storage system, is widely used to store and distribute off-chain data of NFT artworks. applications of digital images generally require displaying, printing, and redistributing them in a variety of sizes, colors, and formats. Unfortunately, the content addressing in IPFS impedes reusing transformation results derived from an original image since totally different IDs from the original must be given for them. They can never comprehend any relation and transition between the original and derivatives. We introduce on-demand image transform functionality and cooperated ID aliasing capability into IPFS for identifying images generated through a transform with a combination of an original's ID and parameters of the applied transform. Our implementation allows retrieving results of newly demanded transforms by inquiring about corresponding IDs for the aliases to others. A preliminary experimental result demonstrates that the proposed ID aliasing can mitigate the processing overhead by promoting reclaiming of transformed images.
The assessment of fruit ripeness is a critical task in various agricultural and food processingapplications. Traditional methods of ripeness evaluation, which relied on human judgment, were subjective and labor-inten...
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