1 January 1996 Wavelet transform image compression using human visual characteristics and a tree structure with a height attribute
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Abstract
This paper proposes an image coding algorithm using a tree structure which takes advantage of the geometric similarity among the hierarchical bands of the wavelet transform (WT). A concept of conditional height difference is introduced in order to further reduce the actual number of bits to transmit the tree structure with a height attribute. This paper also proposes a method to appropriately incorporate human visual characteristics into the proposed coding algorithm. This is achieved by determining the human visual weight of each frequency band into which WT decomposes an image. Simulations are used to show the muchimproved performance of the above scheme over the well-known compression algorithms both in terms of peak signal-to-noise ratio (PSNR) and in other senses. For example, the 512x 512 “Lena” image is shown to be compressed at 1 bit/pixel with a PSNR higher than 40 dB, with less hardware complexity.
Yongkyu Kim, Illsang Choi, Imgeun Lee, Taekhyun Yun, Kyu Tae Park, "Wavelet transform image compression using human visual characteristics and a tree structure with a height attribute," Optical Engineering 35(1), (1 January 1996). https://doi.org/10.1117/1.600890 . Submission:
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