Lossy Compression Algorithms
| العنوان: | Lossy Compression Algorithms |
|---|---|
| المؤلفون: | Ze-Nian Li, Mark S. Drew, Jiangchuan Liu |
| المصدر: | Texts in Computer Science ISBN: 9783030621230 Texts in Computer Science ISBN: 9783319052892 |
| بيانات النشر: | Springer International Publishing, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Lossless compression, Computer science, Computer Science::Multimedia, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Vector quantization, Discrete cosine transform, Data compression ratio, Data_CODINGANDINFORMATIONTHEORY, Lossy compression, Algorithm, Transform coding, Data compression, Image compression |
| الوصف: | In this chapter we examine compression algorithms such that recovered input data cannot be exactly reconstructed from compressed version. This termed “loss”. What we have, then, is a tradeoff between efficient compression versus a less accurate version of the input data. This tradeoff is captured in the Rate-Distortion Theory. Most of the loss occurs in quantization, and we introduce both Uniform and Nonuniform Scalar Quantization, and then Vector Quantization. Transform Coding, especially the Discrete Cosine Transform (DCT), is the main step in JPEG compression. We study DCT in great length and provide several examples. A newer version, JPEG2000, is supported by Wavelet-Based Coding so we introduce this method here and go on to study Wavelet Packets, the Embedded Zerotree of Wavelet Coefficients, and SPIHT. |
| ردمك: | 978-3-030-62123-0 978-3-319-05289-2 |
| DOI: | 10.1007/978-3-030-62124-7_8 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c5f363e40423e4cb9d32024dab3c80 https://doi.org/10.1007/978-3-030-62124-7_8 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....16c5f363e40423e4cb9d32024dab3c80 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030621230 9783319052892 |
|---|---|
| DOI: | 10.1007/978-3-030-62124-7_8 |