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題 名 | 一個基於影像隱藏技術的高動態範圍影像編碼法=A Novel High Dynamic Range Image Encoding Scheme Based on Data Hiding |
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作 者 | 吳俊霖; 林育如; | 書刊名 | 資訊科學應用期刊 |
卷 期 | 3:2 2007.12[民96.12] |
頁 次 | 頁37-51 |
分類號 | 312.1 |
關鍵詞 | 高動態範圍影像; 差別擴展資料隱藏; 影像編碼; High dynamic range image; Difference expansion data hiding; Image encoding; |
語 文 | 中文(Chinese) |
中文摘要 | 真實世界中,亮度值的範圍通常可以擴展到好幾個數量級,也就是說,如果想要擷取這些亮度值的話,那我們需要以高動態範圍(HDR)資料來表示之。有許多研究已經證明了HDR影像的表現在許多應用,例如監看、遙測、空間、電腦圖學以及醫學上,都比傳統LDR影像來得好。另一方面,由於一些重量級的商用影像編輯軟體,例如Photoimpact以及Photoshop等,也都開始提供HDR影像的合成與基本編修的功能,這也使得HDR影像的獲得變的簡單且愈來愈普遍。 HDR未經過壓縮的影像,由於資料中有很大的冗餘存在,所以其檔案大小也在儲存與傳送上帶來很大的問題。所以在本研究中,我們將利用高容量的可回復式資料隱藏法來發展一個高動態範圍影像編碼系統。我們把高動態範圍影像經過色調對應後得到一低動態範圍影像,把原來高動態範圍影像與其相除後即可得到所謂的比例影像(Ratio Image)。把比例影像經過對數轉換後,再線性對應成每個頻道8位元的影像,以JPEG2000壓縮後,即以一高容量的可回復式資訊隱藏法差別擴展影像編碼(Difference Expansion)將其嵌入色調對應後得到之低動態範圍影像。當要還原回HDR影像時,就可把嵌於色調對應後低動態範圍影像之比例影像取回,再相乘即可解回原來的HDR影像。所提出的方法有以下兩個優點,(一)編碼後的HDR影像能相容於一般LDR影像處理系統;(二)由於所使用的資訊隱藏法是可回復式,所以還原的HDR影像具有低失真與高品質。 |
英文摘要 | The range of luminance values in real world scenes often spans many orders of magnitude, which means capturing those values in a physically meaningful way might require high-dynamic range (HDR) data. Such HDR data is becoming increasingly common and important in surveillance, remote sensing, space research, computer graphics and medical applications. Also, HDR images are becoming more and more popular due to the use of commercial image editing software, such as Photoimpact and Photoshop that allow the photographer to combine a series of bracketed exposures into a single HDR image which encompasses the tonal detail of the entire series. Using the raw size of the HDR image may cause potential problems in regard to storage and transmission; a large quantity of bytes in HDR data is wasted containing perceptually unimportant information and on data redundancy. To address this issue, we propose a novel HDR image encoding algorithm in this study, it is based on the difference expansion data hiding method which is reversible and with high capacity. We first obtain a tone-mapped LDR image from a tone-mapping operator, and then divide the HDR pixels by the tone-mapped luminance, producing a ratio image. This image can be encoded by JPEG2000 compression algorithm and then embedded into the tone-mapped LDR image by data hiding. We can recover the original HDR image by calculating the product of the reconstructed ratio image and tone-mapped LDR image in the decoding phase. The characteristics of the proposed method are summarized as follows: (1) The encoded HDR image is backwards compatible with existing LDR image software; and (2) The restored HDR image has high quality and very low RMSE. |
本系統中英文摘要資訊取自各篇刊載內容。