About the Journal
The National Journal of Signal and Image Processing (NJSIP) aims to provide a high-quality platform for researchers, engineers, and academicians to publish innovative research in the fields of signal and image processing. The journal fosters interdisciplinary studies that bridge the gap between theory, implementation, and real-world applications.
Scope Includes (but is not limited to):
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Digital signal processing (DSP) techniques and algorithms
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Image acquisition, enhancement, restoration, and segmentation
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Feature extraction, object recognition, and computer vision
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Medical image processing and diagnostics
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Remote sensing and satellite image analysis
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Multidimensional signal and image modeling
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Real-time image and signal processing in embedded systems
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Deep learning and AI applications in image/signal domains
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Signal processing for sensor networks and IoT applications
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Compressive sensing and sparse representations
