원문정보
The Method to Estimate Quality Degradation from Information Hiding in JPEG Compression Environment
초록
영어
In these days, compressed file is useful in internet environment and has many advantages. So a lot of data hiding algorithms works on JPEG compressed file. Of course they know basic rules of transformation and quantization and they utilize those rules to implement their programming. But most of them evaluate the affection of data hiding after data modification. We propose how to predict the affection of data modification in course of data hiding process.
Through some kind of experiments, several valuable facts are revealed which used in data hiding in compressed domain such as JPEG. These facts will improve existing data hiding algorithms (F3, F4 and F5 which including Matrix Encoding)[1],[5],[6].
목차
I. 서론
II. 압축 데이터 변경 후 좋은 PSNR(Peak Signal to NoiseRatio)를 유지하기 위한 방법
1. JPEG 압축과 양자화(Quantization)
III. Simple Experiments
1. AC 계수의 수정을 통한 양자화 테이블의 영향력 측정
2. 실제 영상에서 AC 계수의 수정을 통한 양자화 테이블의영향력 측정
3. 계수 변환의 크기 및 부호변화에 따른 양자화 테이블의영향력 측정
4. 제안된 아이디어의 검증
VI. 결론
참고문헌