In this work a new perceptually based method of image comparison is proposed. It is based on the colour comparison in a perceptually uniform colour space CIE Luv, and usin g Contrast Sensitivity Function to modify colour comparison thresholds, provided by CIE Luv space. This method can be used to measure image distortion in case of lossy image compression, and steering image generation.

Abstract-In this paper we will study the concept of image compression and study about the various technologies applied on the image compressio. Also highlight the benefits of the image compression .In this paper two technologies of image compression are highlighted they are lossless compression, lossy compression and various technology included in them. Image compression is a process of compres...

OBJECTIVES This study intended to determine the effect of varying degrees of lossy Joint Photographic Experts Group (JPEG) compression on detection of coronary angiographic features. Background Compression of digital coronary angiograms facilitates playback of images and decreases cost. There are little data on the effect of compression on the accuracy of coronary angiography. METHODS At six ...

Lossy trapdoor functions (Peikert and Waters, STOC ’08) are an intriguing and powerful cryptographic primitive. Their main applications are simple and black-box constructions of chosen-ciphertext secure encryption, as well as collision-resistant hash functions and oblivious transfer. An appealing property of lossy trapdoor functions is the ability to realize them from a variety of number-theore...

Data compression has a paramount effect on Data warehouse for reducing data size and improving query processing. Distinct compression techniques are feasible at different levels, each of types either give good compression ratio or suitable for query processing. This paper focuses on applying lossless and lossy compression techniques on relational databases. The proposed technique is used at att...

A new automatic compression scheme that adapts to any image set is presented in this thesis. The proposed scheme requires no a priori knowledge on the properties of the image set. This scheme is obtained using a unified graph-theoretical framework that allows for compression strategies to be compared both theoretically and experimentally. This strategy achieves optimal lossless compression by c...

Generic lossy image compression algorithms, such as Said & Pearlman's, perform excellently on gridded terrain elevation data. For example, an average DEM compressed down to 0.1 bits per point has an RMS elevation error of 3 meters, although di erent DEMs ranged from 0.25 to 15 meters. This performance compares favorably to compressing with Triangulated Irregular Networks. Preliminary tests also...

Image compression technique is widely used in multimedia applications such as image, video, audio data and medical field. Image compression aims to reduce the redundancy of an image data and reduce the storage space of an image. Different image compression techniques were proposed to achieve high compression ratios and high image qualities in low computation time. This document presents the rev...