The transmission of multimedia data such as image video and audio file take huge amount of time and memory. but For the increase the efficiency of transmission and storage image compression is required. In current research trend various image compression techniques or method are used such as JPEG-2000, RLZ, DCT, wavelet and other method. This method is very efficient in image compression, but t...

In digital cameras, Bayer color filter array(CFA) images are captured and demosaicing is carried out before compression. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of output image quality. An efficient prediction-based lossless compression and super-resolution schemes are proposed in this paper. Compressed image is coded ...

Given a color image that was quantized in some hidden color space (termed compression color space) during previous JPEG compression, we aim to estimate this unknown compression color space from the image. This knowledge is potentially useful for color image enhancement and JPEG re-compression. JPEG quantizes the discrete cosine transform (DCT) coefficients of each color plane independently duri...

In this paper an approach to image compression based on shape based information is presented. The current shape based compression doesn’t exploit the curvature information and basically uses the shape region information for compressing the image. In this paper an approach to compress the image based on the shape information exploiting the external shape variations in representive features for i...

Image compression has many applications. For example, it is an important step for distributed and network based pattern recognition. For real time object recognition or reconstruction, image compression can greatly reduce the image size, and hence increase the processing speed and enhance performance. Fractal image compression is a relatively recent image compression method. Its basic idea is t...

Image Compression reduces redundancy in data representation in order to achieve saving in the cost of storage and transmission. Image compression compensates for the limited on-board resources, in terms of mass memory and downlink bandwidth and thus it provides a solution to the "bandwidth vs. data volume" dilemma of modern spacecraft. Thus compression is very important feature in pay...

Image compression plays an important role in our day to day activities. Image compression is the process of reducing the amount of data required to represent given quantity of information in image to reduce storage requirements and many other reasons. In a computer image is represented as an array of numbers, integers and is known as digital image. Image array is mainly of two dimensional and t...

The main problem with fractal image compression is that it takes a lot of computational time for searching blocks (domain block and range block) and then compares these blocks. There are many optimization techniques which are used to improve efficiency of fractal image compression. Some of these are particle swarm optimization, ant colony optimization and biogeography based optimization. In thi...

The region of image compression since it is applicable to various fields of image processing. The key goal of compression is to cut back the space for storage and decrease the transmission cost and maintain the visual quality of image. This paper presents fundamental approach for analysis and evaluating the image compression techniques. This paper describes the many techniques which can be used...

An image consists of large data and requires more space in the memory. The large data results in more transmission time from transmitter to receiver. The time consumption can be reduced by using data compression techniques. In this technique, it is possible to eliminate the redundant data contained in an image. The compressed image requires less memory space and less time to transmit in the for...