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Digital images have been utilized widely in medical, satellite, and security applications and they may deteriorate with unwanted information acknowledged as image noise by the reasons of inappropriate capturing, transmission, and storage. Salt and Pepper noise is one of the significant issues in digital images, it creates black and white spots on the image and results loss of particular information. Hence, Image denoising is one of the key concepts in image restoration to recover the ground truth image from input noisy image. In this work, proposed a low-complexity CNN model in terms of layers for salt and pepper noise removal.

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Low-Complexity Convolutional Neural Network for Salt and Pepper Noise Removal in Digital Images

  • 会议论文

  • 发表日期：

    2026年

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  • Prudhvi Raj Budumuru,
  • K. N. V. N. Gupta,
  • M. Sri Hari,
  • J. Anand Sai Santosh,
  • N. Satya Sri Naga Venkat,
  • K. Yogi Suhas Reddy

摘要

Digital images have been utilized widely in medical, satellite, and security applications and they may deteriorate with unwanted information acknowledged as image noise by the reasons of inappropriate capturing, transmission, and storage. Salt and Pepper noise is one of the significant issues in digital images, it creates black and white spots on the image and results loss of particular information. Hence, Image denoising is one of the key concepts in image restoration to recover the ground truth image from input noisy image. In this work, proposed a low-complexity CNN model in terms of layers for salt and pepper noise removal.