Image Retrieval in Frequency Domain Using DCT Coefficient Histograms
نویسندگان
چکیده
منابع مشابه
Image retrieval based on energy histograms of the low frequency DCT coefficients
With the increasing popularity of the use of compressed images, an intuitive approach for lowering computational complexity towards a practically efficient image retrieval system is to propose a scheme that is able to perform retrieval computation directly in the compressed domain. In this paper, we investigate the use of energy histograms of the low frequency DCT coefficients as features for t...
متن کاملMulti-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...
متن کاملA New Descriptor based on 2D DCT for Image Retrieval
Content-based image retrieval relies on feature comparison between images. So the selection of feature vector is important. As many images are compressed by transforms, constructing the feature vector directly in transform domain is a very popular topic. We propose a new feature vector in DCT domain. Our method selects part of DCT coefficients inside each block to construct AC-Pattern and use D...
متن کاملColour image retrieval based on DCT-domain vector quantisation index histograms
A new kind of feature for colour image retrieval based on DCT-domain vector quantisation (VQ) index histograms (DCTVQIH) is proposed. For each colour image in the database, 12 histograms (four for each colour component) are calculated from 12 DCT-VQ index sequences, respectively. The retrieval simulation results show that, compared with the traditional spatial-domain colour-histogram-based feat...
متن کاملFeature Based Image Classification in Compressed and Uncompressed Domains
Content-based image retrieval refers to making use of low-level visual features for grouping images into semantically meaningful categories. In this project we aim to study the technique of content-based image retrieval. We shall test the discriminating power of various features to classify images as landscapes and cityscapes by implementing [1]. The features used are: color histograms, color c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000