مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

692
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Quality Preserving in Image Noise Removal by Using Texture Information

Pages

  75-86

Abstract

 The existence of noise in image reduces its quality and hinders analysis of the image. Image noise reduction techniques are often accompanied with artifact, especially in facing with strong noise. Since sensitivity of human visual system is not alike in all areas of image, i. e. smooth and nonsmooth areas, Noise Removal can be performed considering the textual information of the image. The proposed approach intends to earnestly remove noise from the smooth region as it is more obvious to human visual system. Indeed, the filtered image produces less artifact in nonsoomth region, as the noise is superficially removed from the nonsmooth region. In the proposed method, the image is segmented into smooth and non-smooth regions using entropy information of the image. Then to remove the noise from each region, the Diffusion Filter with different parameters is used. The proposed method not only removes the noise but also preserves the edges and details of the image. The proposed method was evaluated using several noisy images and images from CSIQ and IVC databases. According to subjective and objective quality results, accuracy of the proposed method in Gaussian noise reduction is better than the previous works.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Khodabakhshi, Zeinab, ASADI AMIRI, SEKINEH, & HASSANPOUR, HAMID. (2019). Quality Preserving in Image Noise Removal by Using Texture Information. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 8(4 ), 75-86. SID. https://sid.ir/paper/245905/en

    Vancouver: Copy

    Khodabakhshi Zeinab, ASADI AMIRI SEKINEH, HASSANPOUR HAMID. Quality Preserving in Image Noise Removal by Using Texture Information. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2019;8(4 ):75-86. Available from: https://sid.ir/paper/245905/en

    IEEE: Copy

    Zeinab Khodabakhshi, SEKINEH ASADI AMIRI, and HAMID HASSANPOUR, “Quality Preserving in Image Noise Removal by Using Texture Information,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 8, no. 4 , pp. 75–86, 2019, [Online]. Available: https://sid.ir/paper/245905/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button