Image compression ratio enhancement based on conformal mapping

Mousa, Hamdy M.; Ahmad, Mostafa A.; El-Sisi, Ashraf B.

doi:10.1109/icces.2013.6707219

Cited by 4 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mostly code, Golomb Rice code, Calic code and JPEG-LS code supports software based image compression standards with high compression rates thereby requiring complex hardware implementations [6] architectures. A hardware friendly adaptive decimation based algorithm is also proposed which achieves low bit rate and ended up with low image quality through lossy image compression standards [9]. The existing methods are not relatively suitable for medical images which demand high fidelity rate for compression and decompression techniques [10].…”

Section: Related Workmentioning

confidence: 99%

Modified Golomb-Rice Algorithm for Color Image Compression

Sharma¹

2013

IJNPME

View full text Add to dashboard Cite

The memory required to store the color image is more. We have reduced the memory requirements using Golomb-rice algorithm. Golomb-rice algorithm consists of the following two steps. In Golomb-Rice algorithm the first step is to compress the image using discrete wavelet transform. By using DWT compression the 8 × 8 image is converted into m × n sub-windows and it is converted into raster file format for producing m × n-1 differential data. Encoding is done by using Golomb-Rice coding. After encoding, the process length, code word and size are calculated by using GR coding.In the second step decoding is done by GR coding based on the obtained length and code word. After that decoded image is decompressed in order to get the original image by using the inverse discrete wavelet transform.

show abstract

Section: Related Workmentioning

confidence: 99%