A pyramidal image coder using generalized rank-ordered prediction filter
نویسندگان
چکیده
This paper presents a lossy image compression scheme that employs a generalized rank-ordered prediction filter for pyramidal image coding. The proposed prediction method renders significantly reduced variance of the quantizer input. Consequently, the quality of the decompressed image is much enhanced due to the greatly reduced quantization distortion. Both analytical and simulation results show that the proposed scheme yields high-quality performance.
منابع مشابه
The Efficiency of Pyramidal Algorithms for Image Representation using Morphological Filters
Pyramidal multiresolution image representation is an ordered sequence of decreasing spatial resolution images in which each image is filtered version of its predecessor. Pyramidal representation of an image is applied in various fields of image processing: progressive image transmission used in interactive image communication over low-bandwidth channels, for image compression used in transmissi...
متن کاملA pyramidal coder using a nonlinear filter bank
imated nonlinear filter banks has been introduced [4, 8,9], where PR is obtained by imposing restrictions on the filter structure instead of on the filter coefieients. We use here a particularisation of a we propose a the general structure of a JPEG coder, but which uses a nonlinear transform to replace the DCT. The nonlinear transform pyramidal coder' which
متن کاملContext Classification and Adaptive Prediction for Lossless Image Coding
In this paper, we combine a context classification scheme with adaptive prediction and entropy coding to produce an adaptive lossless image coder. In this coder, we maximize the benefits of adaptivity using both adaptive prediction and entropy coding. The adaptive prediction is closely tied with the classification of contexts within the image. These contexts are defined with respect to the loca...
متن کاملNonexpansive pyramid for image coding using a nonlinear filterbank
A nonexpansive pyramidal decomposition is proposed for low-complexity image coding. The image is decomposed through a nonlinear filterbank into low- and highpass signals and the recursion of the filterbank over the lowpass signal generates a pyramid resembling that of the octave wavelet transform. The structure itself guarantees perfect reconstruction and we have chosen nonlinear filters for pe...
متن کاملA lossless image coder with context classification, adaptive prediction and adaptive entropy coding
In this paper, we combine a context classification scheme with adaptive prediction and entropy coding to produce an adaptive lossless image code?. In this coder, we maximize the benefits of adaptivity using both adaptive prediction and entropy coding. The adaptive prediction is closely tied with the classification of contexts within the image. These contexts are defined with respect to the loca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Circuits Syst. Video Techn.
دوره 9 شماره
صفحات -
تاریخ انتشار 1999