Wavelet-based image compression provides substantial improvements in picture quality at higher compression ratios. Haar wavelet transform based compression is one of the methods that can be applied for compressing images. An ideal image compression system must yield good quality compressed images with good compression ratio, while maintaining minimal time cost. With Wavelet transform based comp...

This paper presents a Lossy image compression technique which is combination of discrete wavelet transform (DWT), Thresholding, Vector Quantization (VQ) and Huffman coding. Proposed method is as follows, First, DWT is performed on the original image then Globle Thresholding technique is applied and resulting coefficients are then vector quantized. VQ indices are Huffman coded to increase the co...

The fractal image compression problem put forward three major requirements: speeding up the compression algorithm, improving image quality or increasing compression ratio. Major variants of the standard algorithm were proposed to speed up computation time. But most of them lead to a bad image quality, or a lower compression ratio. In this paper we present an implementation based on genetic algo...

this paper presents comparative study of various image compression techniques to assess the progress made in the field of image compression effects on different images for different applications. The advancement in the computer vision increases the demand of high data transmission speed as well as need of large storage space. Thus the field of Image compression is now essential for such applica...

The convergence time for training back propagation neural network for image compression is slow as compared to other traditional image compression techniques. This article proposes a pre-processing technique i.e. Pre-processed Back propagation neural image compression (PBN) with an enhancement in performance measures like better convergence time with respect to decoded picture quality and compr...

The field of image set compression, which refers to the compression of image sets like photo albums and medical images, is becoming increasingly relevant in today’s digital world. In recent years, several schemes for image set compression have been proposed. In this paper, we propose a new SURF based image set compression scheme which uses SURF and HEVC. We also provide comparison results of ou...

One of the main part of image compression is a quantization process which give a significant effect to the compression performance. However, image compression based on the quantization produces blocking effect or artifact image. This research proposes a novel bit allocation strategy which assigning an optimal budget of bits in image compression. The bit allocation is proposed to replace the rol...