Subband domain coding of binary textual images for document archiving
نویسندگان
چکیده
In this work, a subband domain textual image compression method is developed. The document image is first decomposed into subimages using binary subband decompositions. Next, the character locations in the subbands and the symbol library consisting of the character images are encoded. The method is suitable for keyword search in the compressed data. It is observed that very high compression ratios are obtained with this method. Simulation studies are presented.
منابع مشابه
Subband coding of binary textual images for document retrieval
Efficient compression of binary textual images is very important for applications such as document archiving and retrieval, digital libraries and facsimile. The basic property of a textual image is the repetitions of small character images and curves inside the document. Exploiting the redundancy of these repetitions is the key step in most of the coding algorithms. In this paper, we use a simi...
متن کاملSubband Coding for Image Data Archiving
The use of subband coding on image data is discussed. An overviev~ of siibbai~d coding is given. Advantages of subbanding for browsing and progressive resol~itiori ar-e presented. Implementations for lossless and lossy coding are discussed. Algorithn~ considerations and simple implementations of subband systems are given.
متن کاملSecond-Order Statistical Texture Representation of Asphalt Pavement Distress Images Based on Local Binary Pattern in Spatial and Wavelet Domain
Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...
متن کاملNonlinear subband decomposition structures in GF-(N) arithmetic
In this paper, perfect reconstruction filter bank structures for GF-(N) fields are developed. The new filter banks are based on the nonlinear subband decomposition and they are especially useful to process binary images such as document and fingerprint images. ( 1998 Elsevier Science B.V. All rights reserved.
متن کاملSubband Coding of Images Using Predictive Vector Quantization
In this paper, two bfferent schemes for predictive vector quantization (VQ) of subband decomposed images are investigated. The aim is to reduce the quantization error by incorporating memory into the VQ scheme. The first scheme is a form of finite-state VQ FSVQ) which we will call subband FSVQ (SB-FSVQ) and the second is a form of predictive VQ (PVQ) applied to image subbands. We will refer to ...
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:
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
دوره 8 10 شماره
صفحات -
تاریخ انتشار 1999