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{ "item_title" : "Image Processing Based on Convolution Neural Network", "item_author" : [" Shaozhang Niu", "Jiwei Zhang "], "item_description" : "This Reprint, titled Image Processing Based on Convolution Neural Network, compiles 13 cutting-edge research articles that reflect the latest advancements in and expanding applications of CNNs in image processing. The contributions explore diverse areas such as face tampering detection, image enhancement under challenging conditions, industrial defect inspection, object segmentation, crowd counting, and image restoration. By presenting state-of-the-art methodologies and findings, this Reprint provides a valuable reference for researchers and practitioners in computer vision and artificial intelligence, highlighting current trends and future directions in CNN-based image processing.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/72/587/977/372587977X_b.jpg", "price_data" : { "retail_price" : "105.88", "online_price" : "105.88", "our_price" : "105.88", "club_price" : "105.88", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Image Processing Based on Convolution Neural Network|Shaozhang Niu

Image Processing Based on Convolution Neural Network

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Overview

This Reprint, titled "Image Processing Based on Convolution Neural Network", compiles 13 cutting-edge research articles that reflect the latest advancements in and expanding applications of CNNs in image processing. The contributions explore diverse areas such as face tampering detection, image enhancement under challenging conditions, industrial defect inspection, object segmentation, crowd counting, and image restoration. By presenting state-of-the-art methodologies and findings, this Reprint provides a valuable reference for researchers and practitioners in computer vision and artificial intelligence, highlighting current trends and future directions in CNN-based image processing.

Details

  • ISBN-13: 9783725879779
  • ISBN-10: 372587977X
  • Publisher: Mdpi AG
  • Publish Date: June 2026
  • Dimensions: 9.61 x 6.69 x 0.88 inches
  • Shipping Weight: 1.69 pounds
  • Page Count: 262

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