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Author Rabiee, Hamid R. ♦ Kashyap, R. L. ♦ Radha, H.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Multiresolution Image Compression ♦ Power Signal-to-noise Ratio ♦ Binary Space Partitioning ♦ Image Compression ♦ Multilevel Block Truncation Coding ♦ Superior Performance ♦ Subjective Image Quality ♦ Bsp Tree ♦ New Multiresolution
Description BTC,” IEEE 2 nd International Conference on Image Processing (ICIP), Washington D.C
This paper presents a new multiresolution segmentationbased algorithm for image compression. High quality low bit rate image compression is achieved by recursively coding the Binary Space Partitioning (BSP) tree representation of images with multilevel Block Truncation Coding (BTC). Comparison with JPEG at rates below 0.25 bit/pixel shows superior performance both in terms of Power Signal-to-Noise Ratio (PSNR) and subjective image quality. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1995-01-01