Abstract: With the rapid development of information technology and digital technology, the generation of massive image data has put forward higher requirements for image processing technology. Image ...

Abstract: Image smoothening is a highly utilized operation in digital image processing focused on reducing the impact of noise. In field programmable gate arrays (FPGA) based implementation, the ...

Abstract: Image processing algorithms continue to demand higher performance from computers. However, computer performance is not improving at the same rate as before. In response to the current ...

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Abstract: AI-powered smart image processing has transformed real-time image enhancement and analysis by greatly enhancing image quality, object detection accuracy, and computational efficiency. This ...

Abstract: Texture transfer is a crucial approach in image processing which enables smooth transfer of textures between images while preserving visual qualities like color fidelity and texture details.

Abstract: Transformer is leading a trend in the field of image processing. While existing lightweight image processing transformers have achieved notable success, they primarily focus on reducing ...

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...

Abstract: Quantum computing offers parallel processing capabilities and resource-saving advantages, particularly useful for managing expansive datasets and complex image processing tasks. Grayscale ...

Abstract: A three-way clustering algorithm based on image processing is proposed by combining blurring and sharpening operations in digital image processing. The proposed algorithm quantifies the ...