High-resolution digital images that are used in geo-spatial and remote sensing technologies tend to be of large sizes, especially with newer satellite imageries that provide better than 5 m spatial resolution, and thereby consuming large storage space, large transmission bandwidth, and long transmission times. Therefore, method of compressing the archived images is required before storage and t...

In recent past, vector quantization has been observed as an efficient technique for image compression. In general, image compression reduces the number bits required to represent an image. The main significance of image compression is that the quality of the image is preserved. This in turn increases the storage space and thereby the volume of the data that can

In this paper, efficiency and capability of an adaptive quardtree partitioning scheme of fractal image compression technique is discussed with respect to quardtree partitioning scheme. In adaptive quardtree partitioning scheme, the image is partitioned recursively into four sub-images. Instead of middle points of the image sides are selected as in quardtree partitioning scheme, Image contexts a...

In the image processing image compression is very important. Because of image compression image quality may effect and CR may vary. Here DWT is used for compress the image i.e. used "haar wavelet” with decomposes level 2 which makes it more compressible. Huffman encoding is used to decrease length of data and also changed threshold values and set it to 10.This is the only approach proposed for ...

Owing to the growth of technology there is a need for high performance and high capacity systems to efficiently utilize the bandwidth during transmission of images. Hence Compression of medical Images is required for data storage and transmission. One such compression algorithms which is found effective for medical images is fractal image compression. Fractal image compression (FIC) is a lossy ...

Compression and decompression tools of digital image has become a significant aspect in the storing and transferring of digital image. Fractal image compression technique is recently used to compress images. 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 ma...

Fractal Image compression uses different fractals is lossy compression technique. Textures and natural images are compressed & decompressed using fractal image compression. As there is repeation in the other parts of the same image. In proposed methodology, complete image is converted into mathematical equations. These equations are used to convert images into fractal codes. After reception the...

The paper shows that the partial differential based compression framework, Edge Enhancing Diffusion Compression (EEDC) on high compression ratios can come close to or even be better than present compression standard – JPEG2000 thus presenting a novel method for image compression. In this paper EEDC will be enhanced by changing its data coding, i.e. Huffman coding will be changed with an entropy...

Image compression techniques are important and useful in data storage and image transmission through the Internet. These techniques eliminate redundant information in an image which minimizes the physical space requirement of the image. Numerous types of image compression algorithms have been developed but the resulting image is still less than the optimal. The Harmony search algorithm (HSA), a...

Digital Color Image required large amount of space to store and large bandwidth to transmit it. Due to limitations in bandwidth and in storage space, it is vital requirement to compresses digital color image. Color image compression is required with negligible loss in image quality for the effective use of further restored image. To meet this, numerous image compression techniques are developed...