Recursive Quad-Tree Block Partitioning for Data Embedding in Images
نویسندگان
چکیده
منابع مشابه
UMRT based Adaptive Block Size Transform Coder for Images Using Quad-tree partitioning
Variable block size (VBS) transform coding techniques have been proven to be capable of enhancing performance of a fixed size transform coding system. However, the criterion of determining the block size used still remains to be devised. In this paper, a new criterion for quad-tree partitioning of images based on UMRT and a new UMRT based adaptive block size transform coder are proposed. The ne...
متن کاملBinary-block embedding for reversible data hiding in encrypted images
This paper first introduces a binary-block embedding (BBE) method to embed secret data in a binary image. Using BBE, we propose an algorithm for reversible data hiding in encrypted images (BBE-RDHEI). It uses BBE to embed binary bits in lower bit-planes of the original image into its higher bit-planes such that the lower bitplanes can be reserved for hiding secret data in subsequent processes. ...
متن کاملRegion Quad-Tree Decomposition Based Edge Detection for Medical Images
Edge detection in medical images has generated significant interest in the medical informatics community, especially in recent years. With the advent of imaging technology in biomedical and clinical domains, the growth in medical digital images has exceeded our capacity to analyze and store them for efficient representation and retrieval, especially for data mining applications. Medical decisio...
متن کاملMedical Image Registration Based on BSP and Quad-Tree Partitioning
This paper presents a study of image simplification techniques as a first stage to define a multiresolution registration framework. We propose here a new approach for image registration based on the partitioning of the source images in binary-space (BSP) and quad-tree structures. These partitioned images have been obtained with a maximum mutual information gain algorithm. Multimodal registratio...
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: SN Computer Science
سال: 2020
ISSN: 2662-995X,2661-8907
DOI: 10.1007/s42979-020-00322-9