Coding Efficiency Improvement By Applying Rate-Distortion Optimization To 3D-DCT Based Integral Image Compression Method

اسناد مشابه

• Rate-distortion optimization of the image compression algorithm based on the warped discrete cosine transform

  سند علمی۲۰۰۳Signal ProcessingIl Koo Kim, Nam Ik Cho, Sanjit K. Mitra

  Recently, an image compression algorithm based on the warped discrete cosine transform has been proposed (Cho and Mitra, IEEE Trans Circuits Systems Video Technol 10 (8) (2000) 1364). The algorithm outperforms JPEG, especially for images with high frequency contents and compound

• Novel Image Set Compression Algorithm Using Rate-Distortion Optimized Multiple Reference Image Selection

  مقاله‌ی دسترسی آزاد۲۰۱۸IEEE AccessLinaSha, WeiWu, BingbingLi

• Rate-distortion Optimization for Image Compression Using Warped Discrete Cosine Transform

  سند علمی۲۰۰۱Il Koo Kim, Nam Ik Cho, Sanjit K. Mitra

  Recently, warped discrete cosine transform(WDCT) has been proposed [1, 2], which is the cascade of allpass filters and DCT. The role of the allpass filters is to warp the input frequency contents to be suitable for compression by DCT. The compression algorithm based on the WDCT o

• A Novel Image Compression Algorithm Based on Multitree Dictionary and Perceptual-based Rate-Distortion Optimization

  سند علمی۲۰۱۵J. Inf. Sci. Eng.Kai-Lung Hua, Adhatus Solichah Ahmadiyah, Yeni Anistyasari

  This paper presents a novel block-based image coding algorithm which applies a tree-structured multitree dictionary and a perceptual-based rate distortion optimization scheme. While multitree dictionary is employed to support a very large number of different tilings, perceptual-b

• Rate-distortion Optimized Color Quantization for Compound Image Compression

  سند علمی۲۰۰۷Wenpeng Ding, Yan Lu, Feng Wu, Shipeng Li

  In this paper, we present a new image compression scheme, which is specially designed for computer generated compound color images. First we classify the image content into two kinds: text/graphic content and picture content. Then a rate-distortion optimized color quantization al

• Rate-Distortion Optimized Encoding for Deep Image Compression

  مقاله‌ی دسترسی آزاد۲۰۲۱IEEE open journal of circuits and systems['Michael Schäfer', 'Sophie Pientka', 'Jonathan Pfaff', 'Heiko Schwarz', 'Detlev Marpe', 'Thomas Wiegand', '']

  Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers finding a compressible representation of the input image. Advanced techniques such as vector quantiz