Edge Preserving Image Coding For High Resolution Image Representation

Edge Preserving Image Coding For High Resolution Image Representation

Image coding for high resolution representation, with projection edge smoothening is been proposed in this work. In past works it is observed that image projection in larger dimension carried out by image interpolation results in high stretching effects at bounding regions of the objects in an image. Though focus is made towards achieving high quality accuracy in image projection very less work...

Edge-Based Image Representation and Coding

Contourlet-Based Edge Extraction for Image Registration

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

An Edge-Preserving Image Coding System with Vector Quantization

Image coding with vector quantization (VQ) reveals several defects which include edge degradation and high encoding complexity. This paper presents an edge-preserving coding system based on VQ to overcome these defects. A signal processing unit first classifies image blocks into low-activity or high-activity class. A high-activity block is then decomposed into a smoothing factor, a bit-plane an...

Multi-Level Structured Image Coding on High-Dimensional Image Representation

Robust image representations such as classemes [1], Object Bank (OB) [2], spatial pyramid representation(SPM) [3] have been proposed, showing superior performance in various high level visual recognition tasks. Our work is motivated by the need of exploring rich structural information encoded by these image representations. In this paper, we propose a novel Multi-Level Structured Image Coding a...