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|Title:||Combined DCT-Haar transforms for image compression||Authors:||Dagher, Issam
|Affiliations:||Faculty of Engineering||Keywords:||Discrete Cosine Transformation
|Issue Date:||2018-12-01||Publisher:||Wiley Online Library||Part of:||International Journal of Imaging Systems and Technology||Volume:||28||Issue:||4||Start page:||274||End page:||294||Abstract:||
Discrete Cosine Transform and Haar wavelet transform are very important transforms in image compression. The objective of this paper is to combine the advantages of these 2 transforms into one transform in order to get better peak-signal-to-noise-ratio (PSNR) and keeping good compression ratio. Our first approach was to apply separately on each 8x8 block the Haar and the DCT transforms. A signaling bit along the transform which gave better PSNR are quantized and transmitted. Our second approach was to construct a new hybrid transform which is a combination of these 2 transforms. We mixed both DCT and Haar transforms into one transform. Results show that our approach outperforms the existing DCT and Haar methods giving a higher PSNR than DCT for the same compression ratio, and permitting better edge recovery than the Haar transform.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/5697||ISSN:||08999457||DOI:||10.1002/ima.22286||Ezproxy URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Computer Engineering|
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