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Color Image Compression Using Singular Value Decomposition

عنوان مقاله: Color Image Compression Using Singular Value Decomposition
شناسه ملی مقاله: ROUDSARIT01_078
منتشر شده در اولین همایش رویکرد های نوین در مهندسی کامپیوتر و فناوری اطلاعات در سال 1390
مشخصات نویسندگان مقاله:

Soheil Ziabakhsh - Department of Electrical Engineering, Roudsar and Amlash Branch, Islamic Azad University, Roudsar, Iran
Mahdi Payravi - Department of Electrical Engineering, Langaroud Branch, Islamic Azad University, Langaroud, Iran
Hosein Alavi-Rad - Department of Electrical Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Saman Ziabakhsh - Department of Electrical Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

خلاصه مقاله:
The RGB component of a color image contain redundant information that can be reduced using singular value decomposition. This method produces a color image with the same number of pixels as theoriginal color image, but each pixel represented by a scalar value instead of a three dimensional vector of RGB components. The goal of the SVD method is viable compression method for typical color photographic images, and we present how this method is used to minimize the size needed to store image.

کلمات کلیدی:
Color image compression, RGB,SVD

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/119861/