Name
Title | ||
|---|---|---|
Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images. |
Abstract | ||
|---|---|---|
The digital medical workflow faces many circumstances in which the images can be manipulated during viewing, extracting and exchanging. Reversible and imperceptible watermarking approaches have the potential to enhance trust within the medical imaging pipeline through ensuring the authenticity and integrity of the images to confirm that the changes can be detected and tracked. This study concentrates on the imperceptibility issue. Unlike reversibility, for which an objective assessment can be easily made, imperceptibility is a factor of human cognition that needs to be evaluated within the human context. By defining a perceptual boundary of detecting the modification, this study enables the formation of objective guidelines for the method of data encoding and level of image/pixel modification that translates to a specific watermark magnitude. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.image.2018.10.007 | Signal Processing: Image Communication |
Keywords | Field | DocType |
Medical imaging,DICOM,Reversible watermarking,Imperceptibility,Image quality,Visual grading analysis | Computer vision,Peak signal-to-noise ratio,Digital watermarking,DICOM,Computer science,Perceptual Distortion,Image quality,Watermark,Pixel,Artificial intelligence,Grayscale | Journal |
Volume | ISSN | Citations |
70 | 0923-5965 | 1 |
PageRank | References | Authors |
0.39 | 22 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asaad F. Qasim | 1 | 9 | 1.88 |
| Rob Aspin | 2 | 97 | 12.40 |
| Farid Meziane | 3 | 308 | 37.98 |
| Peter Hogg | 4 | 5 | 2.16 |