DWT Based Image Compression Using Quadtree Decomposition and Huffman Encoding

Jana, Sukhendu; Mandal, Soumaya

doi:10.26480/cic.01.2020.144.147

Cited by 1 publication

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References 2 publications

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“…The result describes a high compression rate and allows the user to choose the quality of the output image. S. Janaa and S. Mandal 2020 [8] used both wavelet transform and quad-tree decomposition technology for better image compression performance. The discrete wavelet transform (DWT) decomposes an image into a hierarchical sub band system, then the quad-tree decomposition technology is applied to the image generated by wavelet decomposition, and the image is divided into blocks containing image information and other details according to the given threshold, and then entropy coding technology is used to finally compress the image.…”

Section: Introductionmentioning

confidence: 99%

Image Signal Decomposition Using Polynomial Representation with Hybrid Lossy and Non-Lossy Coding Scheme

Ahmed

George

Hadi

2022

Iraqi Journal of Science

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This article presents a polynomial-based image compression scheme, which consists of using the color model (YUV) to represent color contents and using two-dimensional polynomial coding (first-order) with variable block size according to correlation between neighbor pixels. The residual part of the polynomial for all bands is analyzed into two parts, most important (big) part, and least important (small) parts. Due to the significant subjective importance of the big group; lossless compression (based on Run-Length spatial coding) is used to represent it. Furthermore, a lossy compression system scheme is utilized to approximately represent the small group; it is based on an error-limited adaptive coding system and using the transform coding scheme (discrete cosine transform or bi-orthogonal transform). Experimentally, the developed system has achieved high compression ratios with acceptable quality for color images. The performance results are comparable to those introduced in recent studies; the accomplishment of the introduced image compression system was analyzed and compared with the performance of the JPEG standard. The results of the developed system show better performance than that of the JPEG standard.

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Section: Introductionmentioning

confidence: 99%