Combined feature compression encoding in image retrieval
نویسندگان
چکیده
منابع مشابه
Image Compression Using MH Encoding
Image Compression is the application of Data Compression on digital image. The techniques used for the image compression are broadly divided into lossy and lossless compression techniques. One of the lossless compression techniques is Huffman encoding. In this paper, the new method MH Encoding (Median Filter + Huffman Encoding) is used to compress the images. Here the images are preprocessed us...
متن کاملEntropy Encoding in Wavelet Image Compression
In the process of wavelet image compression, there are three major steps that makes the compression possible, namely, decomposition, quantization and entropy encoding steps. While quantization may be a lossy step where some quantity of data may be lost and may not be recovered, entropy encoding enables a lossless compression that further compresses the data. [13], [18], [5] In this paper we dis...
متن کاملEncoding Time Reduction in Fractal Image Compression
The mathematical interpretation of fractal image compression is strongly related to Banach’s fixed point theorem . More precisely, if (X, d) represents a metric space of digital images where d is a given suitable metric, we want to think of an element of X that we wish to encode as a fixed point of some operator. Since we are dealing with coding images, the choice of the metric space X as well ...
متن کاملImage 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 کاملWavelet Based Compression for Image Retrieval Systems
In this paper, the investigation on using the ZTE /modified SPIHT wavelet based compression algorithm for the image retrieval system is presented. As ZTE/modified SPIHT algorithm codes an image into multi-layer bitstreams, the base layer and enhancement layer bitstreams, it provides superior benefits to the retrieval system compared to other compression methods. Since the base layer bitstream i...
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: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2019
ISSN: 1303-6203
DOI: 10.3906/elk-1803-3