Gradual Block-based Efficient Lossy Location Coding for Image Retrieval

Efficient Context-Based Entropy Coding Lossy Wavelet Image Compression

Location coding for mobile image retrieval

For mobile image retrieval, efficient data transmission can be achieved by sending only the query features. Each query feature is composed of a descriptor and a location in the image. The former is used to find candidate matching images using a “bag-of-words” approach while the latter is used in a geometric consistency check to map features in the query image to corresponding features in the da...

Dot Diffusion Block Truncation Coding for Effective Image Retrieval System

This paper presents a new approach to derive the image feature descriptor from the dot-diffused block truncation coding (DDBTC) compressed data stream. The image feature descriptor is simply constructed from two DDBTC representative color quantizers and its corresponding bitmap image. The color histogram feature (CHF) derived from two color quantizers represents the color distribution and image...

Dot Diffusion Block Truncation Coding for Satellite Image Retrieval

In present survey it is noticed that the profound interest in research and study of retrieval of satellite images and Image Retrieval on Content Based is grown hugely .Thus, to build the semantic error which is a huge challenge. Also, it prevents wide hosting of image on content based search engines which is now the necessity of CBIR technique. Mostly image search engine depend on human generat...

Eecient Context-based Entropy Coding for Lossy Wavelet Image Compression

In this paper we present an adaptive image coding algorithm based on novel backwardadaptive quantization/classi cation techniques. We use a simple uniform scalar quantizer to quantize the image subbands. Our algorithm puts each coe cient into one of several classes depending on the values of neighboring previously quantized coe cients. These previously quantized coe cients form contexts which a...