JOURNAL ARTICLE

Haar Wavelet Transform image compression using Run Length Encoding

Abstract

In modern technology memory storing space is not a very big deal. But when it comes to a portable system i.e. a digital camera with internet as well as communication facility, then the bandwidth for communication as well as storage are of serious concern. Huge useful information has to be stored and retrieved efficiently for practical purposes. The Haar wavelet, which is the simplest of all the 2D DWT, along with thresholding has been applied on a JPEG image. After that Run Length Entropy Coding has been adopted. This is the novel approach that authors have proposed for compression of image using parameter CR (Compression Ratio) without losing the parameter PSNR, the quality of image, using less bandwidth.

Keywords:
Computer science JPEG 2000 Image compression JPEG Entropy encoding Computer vision Artificial intelligence Haar wavelet Transform coding Data compression Discrete wavelet transform Wavelet Entropy (arrow of time) Wavelet transform Bandwidth (computing) Image processing Image (mathematics) Discrete cosine transform Telecommunications

Metrics

17
Cited By
1.93
FWCI (Field Weighted Citation Impact)
17
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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