The Experts below are selected from a list of 27846 Experts worldwide ranked by ideXlab platform

Moncef Gabbouj - One of the best experts on this subject based on the ideXlab platform.

  • unsharp masking based approach for Color Image Processing
    European Signal Processing Conference, 1998
    Co-Authors: Faouzi Alaya Cheikh, Lazhar Khriji, Moncef Gabbouj
    Abstract:

    In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to Color Image Processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient λ used in the conventional unsharp masking technique. Simulations show that the processed Image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the Image is clearly reduced.

  • EUSIPCO - Unsharp masking-based approach for Color Image Processing
    1998
    Co-Authors: Faouzi Alaya Cheikh, Lazhar Khriji, Moncef Gabbouj
    Abstract:

    In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to Color Image Processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient λ used in the conventional unsharp masking technique. Simulations show that the processed Image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the Image is clearly reduced.

Faouzi Alaya Cheikh - One of the best experts on this subject based on the ideXlab platform.

  • unsharp masking based approach for Color Image Processing
    European Signal Processing Conference, 1998
    Co-Authors: Faouzi Alaya Cheikh, Lazhar Khriji, Moncef Gabbouj
    Abstract:

    In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to Color Image Processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient λ used in the conventional unsharp masking technique. Simulations show that the processed Image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the Image is clearly reduced.

  • EUSIPCO - Unsharp masking-based approach for Color Image Processing
    1998
    Co-Authors: Faouzi Alaya Cheikh, Lazhar Khriji, Moncef Gabbouj
    Abstract:

    In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to Color Image Processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient λ used in the conventional unsharp masking technique. Simulations show that the processed Image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the Image is clearly reduced.

Lazhar Khriji - One of the best experts on this subject based on the ideXlab platform.

  • unsharp masking based approach for Color Image Processing
    European Signal Processing Conference, 1998
    Co-Authors: Faouzi Alaya Cheikh, Lazhar Khriji, Moncef Gabbouj
    Abstract:

    In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to Color Image Processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient λ used in the conventional unsharp masking technique. Simulations show that the processed Image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the Image is clearly reduced.

  • EUSIPCO - Unsharp masking-based approach for Color Image Processing
    1998
    Co-Authors: Faouzi Alaya Cheikh, Lazhar Khriji, Moncef Gabbouj
    Abstract:

    In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing. And apply it to Color Image Processing. The proposed structure is similar to the conventional unsharp masking structure, however, a nonlinear function is added to control the behavior of the operator. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates the noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient λ used in the conventional unsharp masking technique. Simulations show that the processed Image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the Image is clearly reduced.

Pinaki Mazumder - One of the best experts on this subject based on the ideXlab platform.

  • Color Image Processing with multi-peak resonant tunneling diodes
    ACM Journal on Emerging Technologies in Computing Systems, 2013
    Co-Authors: Woo Hyung Lee, Pinaki Mazumder
    Abstract:

    The article introduces a novel approach to Color Image Processing that utilizes multi-peak resonant tunneling diodes for encoding Color information in quantized states of the diodes. The Multi-Peak Resonant Tunneling Diodes (MPRTDs) are organized as a two-dimensional array of vertical pillars which are locally connected by programmable passive and active elements with a view to realizing a wide variety of Color Image Processing functions such as quantization, Color extraction, Image smoothing, edge detection, and line detection. In order to process Color information in the input Images, two different methods for Color representation schemes have been used: one using Color mapping and the other using direct RGB representation. Finally, the article uses HSPICE simulation methods for the nestlist of the proposed RTD-based nanoarchitecture in order to verify a candidate of Image functions by using the afore-mentioned representation methods.

  • Color Image Processing with quantum dot structure on a multi-peak resonant tunneling diode
    2007 7th IEEE Conference on Nanotechnology (IEEE NANO), 2007
    Co-Authors: Woo Hyung Lee, Pinaki Mazumder
    Abstract:

    Quantum dot nanostructure has dual advantages of high speed and small size. One promising new application for these devices is to use them for Color Image Processing. However, the use of the quantum dot structure for Image Processing has been limited to black and white Images. In fact, it is impossible to process general Color Images using the conventional quantum dot network. In this paper, we suggest a new quantum dot network design which implements Color Image Processing. A novel quantum dot structure is formed by metallic islands on the surface of a multi-peak resonant tunneling diode. With the new structure and circuit configuration, we achieve filters for performing Color quantization, smoothing, and Color extraction. Based on simulation results, we achieve the new Color Image processor, which is 2 to 3 orders faster than conventional CMOS Color Image processors.

G. Strauch - One of the best experts on this subject based on the ideXlab platform.

  • Assessment of healing kinetics through true Color Image Processing
    IEEE transactions on medical imaging, 1993
    Co-Authors: Michel Herbin, F. X. Bon, Alain Venot, F. Jeanlouis, M.l. Dubertret, Louis Dubertret, G. Strauch
    Abstract:

    A quantitative method of skin healing assessment using true Color Image Processing is presented. The method was developed during a clinical trial using healthy volunteers, the goal of which was to study a drug for accelerating healing. Photographic Images of the skin were sequentially acquired between day 1 and day 12 after pure painless epidermal wounds. The Images were digitized in controlled conditions using a Color video camera connected to a computer system. A Color threshold based segmentation was developed to provide an operator-independent delineation of the wound. Two healing indexes were built measuring, the wound area and the wound Color. The method was implemented in a software system allowing a fully automated determination of the healing indexes. The method provides a new quantitative global assessment of healing kinetics. It is noninvasive and well suited for multicentric clinical trials. >