Low entropy image pyramids for efficient lossless coding
نویسندگان
چکیده
An efficient image source coding technique gives good compression performance at low computational complexity. This research introduces an efficient coding technique, based on pyramid coding, that involves transforming an image into an equivalent lower entropy form prior to lossless coding. The proposed method is also a multiresolution technique that facilitates progressive image transmission.
منابع مشابه
A progressively predictive image pyramid for efficient lossless coding
A low entropy pyramidal image data structure suited for lossless coding and progressive transmission is proposed in this work. The new coder, called the progressively predictive pyramid (PPP) is based on the well-known Laplacian pyramid. By introducing inter-resolution predictors into the original Laplacian pyramid, we show that the entropy level in the original pyramid can be reduced significa...
متن کاملOptimal Construction of Reduced Pyramids for Lossless and Progressive Image Coding
Reduced pyramids, including in particular pyramids without analysis lters are known to produce excellent results when used for lossless signal and image compression. The present paper presents a methodology for the optimal construction of such pyramids by selecting the interpolation synthesis postlters so as to minimize the error variance at each level of the pyramid. This establishes optimally...
متن کاملEfficient Representation and Decoding of Static Huffman Code Tables in a Very Low Bit Rate Environment
The lossless entropy coding used in many image coding schemes often is overlooked as most research is based around the lossy stages of image compression. This paper examines the relative merits of using static Huffman coding with a compact optimal table verses more sophisticated adaptive arithmetic methods. For very low bit rate image compression, the computationally simple Huffman method is sh...
متن کاملEfficient entropy coding scheme for H.264/AVC lossless video coding
Context-based adaptive variable length coding (CAVLC) and context-based adaptive binary arithmetic coding (CABAC) are entropy coding methods employed in the H.264/ AVC standard. Since these entropy coders are originally designed for encoding residual data, which are zigzag scanned and quantized transform coefficients, they cannot provide adequate coding performance for lossless video coding whe...
متن کاملA Neural Network for Context-based Arithmetic Coding in Lossless Image Compression
Significant progress has recently been made in lossless image compression using discrete wavelet transforms. The overall performance of these schemes may be further improved by properly designing efficient entropy coders. In this paper a new technique is introduced for the implementation of context-based adaptive arithmetic entropy coding. This technique is based on the prediction of the value ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
دوره 4 8 شماره
صفحات -
تاریخ انتشار 1995