Image Retrieval Using A New Fractal Feature and Robust Structural Information
نویسندگان
چکیده
منابع مشابه
Image Retrieval Using Fractal Feature
Content-based image retrieval attracted many researchers of various fields in an effort to automate data analysis and indexing. In contemporary image databases one finds many images with the same content perturbed by zooming, scaling, rotation and noise. For the purpose of image recognition in such databases we employ features based on statistics stemming from fractal transforms of gray-scale i...
متن کاملa new content based image retrieval method using contourlet transform
one of the challenging issues in managing the existing large digital image libraries and databases is content based image retrieval (cbir). the accuracy of image retrieval methods in cbir is subject to effective extraction of image features such as color, texture, and shape. in this paper, we propose a new image retrieval method using contourlet transform coefficients to index texture of the im...
متن کاملImproved Fractal Image Compression Based on Robust Feature Descriptors
Fractal image compression is one of the most promising techniques for image compression due to advantages such as resolution independence and fast decompression. It exploits the fact that natural scenes present self-similarity to remove redundancy and obtain high compression rates with smaller quality degradation compared to traditional compression methods. The main drawback of fractal compress...
متن کاملColor image retrieval using a fractal signature extraction technique
Content-based image retrieval systems have become a reliable tool for many image database applications. There are several advantages of the image retrieval techniques compared to other simple retrieval approaches such as text-based retrieval techniques. This paper proposes a new image retrieval technique that can be used for retrieving color images. The proposed technique is based on a fractal ...
متن کاملRobust Denoising using Feature and Color Information
We propose a method that robustly combines color and feature buffers to denoise Monte Carlo renderings. On one hand, feature buffers, such as per pixel normals, textures, or depth, are effective in determining denoising filters because features are highly correlated with rendered images. Filters based solely on features, however, are prone to blurring image details that are not well represented...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Institute of Image Information and Television Engineers
سال: 2003
ISSN: 1881-6908,1342-6907
DOI: 10.3169/itej.57.719