Images compression technique by using hybrid wavelet transform with scalar quantization

الملخص EN

Techniques designed to reduce the image size of image data, which features large, and this may lead to loss of part of the image data.

The search in the area of compression image and a very large, there are many techniques that focus on one of the stages of compression ' making such techniques known the name of that stage, such as the compression using wavelet transform or compression using quantization , or the compression using the run length , and others.

Access to technical and give a high compression ratio with good quality of the image retrieved in the shortest possible time while retaining the image data, is difficult, there is no one technology that has the advantages of hybridization was therefore used in the techniques of compression in order to achieve images that were in the search the current proposal to integrate the hybrid technology merged between discrete wavelet transform and scalar quantization , entropy encoding.

System consists of compression , which consists of three basic components : l.Transform.

then the application of the wavelet transform and called on the wavelet transform discrete wavelet transform be more appropriate for the application of the use of computers.

2.

Quantization At this stage, using the scalar quantization , The quantization means to reduce the number of bits in the one-point using processes Truncation or rounding.

3.

Entropy encoding use at this stage to Run-Length Encoding (RLE).

demonstrated experimental results on a set of images that color to hybridization techniques in the compression in most cases give better results, have demonstrated the existence of a marked improvement in the results of the previous techniques in all scales.