In this paper an empirical evaluation of the lossy compression properties of the JPEG2000 standard for watermarking purposes is performed. The JPEG2000 standard is used as a basic tool for determining both how and where the embedded watermark should be placed in the image. The original image is slightly modified in order to generate a similar image (indistinguishable by the observer), and the m...

The performance of the wavelets in the field of image processing is well known. It is experimental with multiplicity of different images types are compressed using a fixed wavelet filter. In this work Integer Multiwavelet Transform (IMWT) algorithm for Lossy compression has been derived for three different types of images like Standard Lena, Satellite urban and Satellite rural. The IMWT shows h...

Wavelet-based image coding algorithms lossy or lossless, use a fixed perfect reconstruction (PR) filterbank built into the algorithm for coding and decoding all kinds of images. This generic approach of filter selection and usage may not always give the best compression from the viewpoint of a specific application. However, no systematic study has been done to see if using different wavelet fil...

Lossy image compression is used in many applications including remote sensing. Image size and number increase this often leads to the necessity apply compression. In lossy compression, it assumed that rate-distortion curves are monotonous functions assumption put into basis of control. However, has been shown recently there grayscale color images called “strange” for which not monotonous. paper...

A new task-oriented image quality metric is used to quantify the effects of distortion introduced into magnetic resonance images by lossy compression. This metric measures the similarity between a radiologist's manual segmentation of pathological features in the original images and the automated segmentations performed on the original and compressed images. The images are compressed using a gen...

An efficient compression scheme for color-quantized images based on progressive coding of color information has been developed. Rather than sorting color indexes into a linear list structure, a binary-tree structure of color indexes is proposed. With this structure the new algorithm can progressively recover an image from 2 colors up to all of the colors contained in the original image, i.e., a...

A hierarchical lossy image set compression algorithm (HMSTa) has recently been proposed for lossy compression of image sets. It was shown that this algorithm performs well when an image set contains well separated clusters of similar images. As a result, if one applies the HMSTa algorithm after a clustering algorithm has been applied, the compression performance depends on the quality of the pa...

Recently Gao et al. proposed a wavelet-based image quality metric, based on which, a quality constrained image subband quantization scheme is derived for lossy compression. But this scheme needs entropy coding to find the compression ratio decrement for tuning the final quantization step of each subband, which is time consuming and wasteful. In addition, computing the initial quantization steps...

Image compression has developed as full fledged field from past many years because of rapidly growing entertainment market and unparalleled increase in the use of internet services for storage transmission and processing of multimedia data. Data compression techniques are primarily divided into two categories, lossless and lossy. The lossy technique is most widely accepted because it allows hig...

The recent development in the digital electronics and computer engineering has resulted in generation of large amount of data in the digital form. High resolution images are required in many fields such as remote sensing, criminal investigation, medical imaging etc. This motivates the need of compression of the size of the data. The main objective of the present study is to obtain better qualit...