Reversible data hiding based on blockwise prediction with quadtree concepts
學年 114
學期 1
發表日期 2025-09-23
作品名稱 Reversible data hiding based on blockwise prediction with quadtree concepts
作品名稱（其他語言）
著者 Hsiang-Cheh Huang; Feng-Cheng Chang; Hong-Yi Li
作品所屬單位
出版者
會議名稱 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE)
會議地點 Osaka, Japan
摘要 Reversible data hiding is famous for the reversibility in information security researches. For assessing the effectiveness of reversible data hiding schemes, the marked image quality and the payload should be compared, and the reversibility should be guaranteed. It would be advantageous to take the inherent characteristics of original image into consideration to enhance the image quality and embedding payload. By generating predicted image and taking the differences between predicted and original image, a much enhanced amount of payload can be achieved. We employ quadtree decomposition for presenting image characteristics, choose different sets of prediction parameters, and perform embedding with reversible data hiding. Experimental results have provided the flexibility for performance enhancements.
關鍵字
語言 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20250923~20250926
通訊作者
國別 JPN
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128823 )

SDGS 優質教育,產業創新與基礎設施