The Experts below are selected from a list of 5379 Experts worldwide ranked by ideXlab platform

O Kanoun - One of the best experts on this subject based on the ideXlab platform.

  • medical images adaptive compression with statistical model for transmission and Archiving Application to mri modality
    International Conference on Information and Communication Technologies, 2006
    Co-Authors: O Kanoun, M S Bouhlel, S Mezghani
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the Discret Cosine Transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involue an important volume of administrative and medical information where imagery could be very high highted. But the quantity of information represented by images causes serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulting from DCT. The results which are already obtained will be used to work with during or when compressing. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work. Key-words: Compression; Discret Cosine Transform DCT; JPEG; MRI; Adapted quantification; Diagnostic quality.

  • medical images adaptive compression for transmission and Archiving Application to cerebral angiography
    International Conference on Industrial Technology, 2004
    Co-Authors: O Kanoun, A Kachouri, M B Messaoud, M S Bouhlel, F Sallemi
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the discrete cosine transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involve an important volume of administrative and medical information where imagery could be high lighted. But the quantity of information represented by images cause serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulted from DCT. Results which are already obtained were used to work with the compression. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work.

F Sallemi - One of the best experts on this subject based on the ideXlab platform.

  • medical images adaptive compression for transmission and Archiving Application to cerebral angiography
    International Conference on Industrial Technology, 2004
    Co-Authors: O Kanoun, A Kachouri, M B Messaoud, M S Bouhlel, F Sallemi
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the discrete cosine transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involve an important volume of administrative and medical information where imagery could be high lighted. But the quantity of information represented by images cause serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulted from DCT. Results which are already obtained were used to work with the compression. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work.

M S Bouhlel - One of the best experts on this subject based on the ideXlab platform.

  • medical images adaptive compression with statistical model for transmission and Archiving Application to mri modality
    International Conference on Information and Communication Technologies, 2006
    Co-Authors: O Kanoun, M S Bouhlel, S Mezghani
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the Discret Cosine Transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involue an important volume of administrative and medical information where imagery could be very high highted. But the quantity of information represented by images causes serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulting from DCT. The results which are already obtained will be used to work with during or when compressing. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work. Key-words: Compression; Discret Cosine Transform DCT; JPEG; MRI; Adapted quantification; Diagnostic quality.

  • medical images adaptive compression for transmission and Archiving Application to cerebral angiography
    International Conference on Industrial Technology, 2004
    Co-Authors: O Kanoun, A Kachouri, M B Messaoud, M S Bouhlel, F Sallemi
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the discrete cosine transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involve an important volume of administrative and medical information where imagery could be high lighted. But the quantity of information represented by images cause serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulted from DCT. Results which are already obtained were used to work with the compression. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work.

S Mezghani - One of the best experts on this subject based on the ideXlab platform.

  • medical images adaptive compression with statistical model for transmission and Archiving Application to mri modality
    International Conference on Information and Communication Technologies, 2006
    Co-Authors: O Kanoun, M S Bouhlel, S Mezghani
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the Discret Cosine Transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involue an important volume of administrative and medical information where imagery could be very high highted. But the quantity of information represented by images causes serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulting from DCT. The results which are already obtained will be used to work with during or when compressing. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work. Key-words: Compression; Discret Cosine Transform DCT; JPEG; MRI; Adapted quantification; Diagnostic quality.

A Kachouri - One of the best experts on this subject based on the ideXlab platform.

  • medical images adaptive compression for transmission and Archiving Application to cerebral angiography
    International Conference on Industrial Technology, 2004
    Co-Authors: O Kanoun, A Kachouri, M B Messaoud, M S Bouhlel, F Sallemi
    Abstract:

    Image compression with loss presents a major interest or profit for Archiving and image transmission. Many methods are used in this field. The most useful is based on the discrete cosine transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involve an important volume of administrative and medical information where imagery could be high lighted. But the quantity of information represented by images cause serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulted from DCT. Results which are already obtained were used to work with the compression. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work.