Image encryption with dynamic chaotic Look-Up Table

Abdmouleh, Med Karim; Khalfallah, Ali; Bouhlel, Med Salim

doi:10.1109/setit.2012.6481937

Cited by 7 publications

(2 citation statements)

References 18 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Next, we quantify the obtained image representation. At last, we apply the RLE (run length encoding) and Huffman encoding to obtain the compressed image code [22].…”

Section: Jpeg Image Compressionmentioning

confidence: 99%

REPro.JPEG: a new image compression approach based on reduction/expansion image and JPEG compression for dermatological medical images

Amri

Khalfallah

Lapayre

et al. 2017

The Imaging Science Journal

Self Cite

View full text Add to dashboard Cite

Medical images are known for their huge volume which becomes a real problem for their archiving or transmission notably for telemedicine applications. In this context, we present a new method for medical image compression which combines image definition resizing and JPEG compression. We baptise this new protocol REPro.JPEG (reduction/expansion protocol combined with JPEG compression). At first, the image is reduced then compressed before its archiving or transmission. At last, the user or the receiver decompresses the image then enlarges it before its display. The obtain results prove that, at the same number of bits per pixel lower than 0.42, that REPRo.JPEG guarantees a better preservation of image quality compared to the JPEG compression for dermatological medical images. Besides, applying the REPRo.JPEG on these colour medical images is more efficient while using the HSV colour space compared to the use of RGB or YCbCr colour spaces.

show abstract

“…Next, we quantify the obtained image representation. At last, we apply the RLE (run length encoding) and Huffman encoding to obtain the compressed image code [22].…”

Section: Jpeg Image Compressionmentioning

confidence: 99%

REPro.JPEG: a new image compression approach based on reduction/expansion image and JPEG compression for dermatological medical images

Amri

Khalfallah

Lapayre

et al. 2017

The Imaging Science Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, the more complex metrics rely on the human visual system features including the multichannel decomposition, contrast sensitivity function, contrast/luminance masking. Generally, several 3D mesh quality evaluation metrics deliberate directly the 2D (Abdmouleh & Khalfallah & Bouhlel, 2012) image metrics (Namara & Mania & Banks & Healey, 2010). Limb (Limb, 1979) concerned with fitting an objective measure to closely estimate the deficiency ratings on five test images.…”

Section: Related Workmentioning

confidence: 99%

Perceptual Metrics Quality

Elloumi

Kacem²,

Nilanjan

et al. 2017

International Journal of Service Science, Management, Engineering, and Technology

View full text Add to dashboard Cite

A 3D mesh can be subjected to different types of operations, such as compression, watermarking etc. Such processes lead to geometric distortions compared to the original version. In this context, quantifying the resultant modifications to the original mesh and evaluating the perceptual quality of degraded meshes become a critical issue. The perceptual 3D meshes quality is central in several applications to preserve the visual appearance of these treatments. The used metrics results have to be well correlated to the visual perception of humans. Although there are objective metrics, they do not allow the prediction of the perceptual quality, and do not include the human visual system properties. In the current work, a comparative study between the perceptual quality assessment metrics for 3D meshes was conducted. The experimental study on subjective database published by LIRIS / EPFL was used to test and to validate the results of six metrics. The results established that the Mesh Structural Distortion Measure metric achieved superior results compared to the other metrics.

show abstract