Evaluation of the wavelet image two-line coder: A low complexity scheme for image compression

نویسندگان

  • Stephan Rein
  • Frank H. P. Fitzek
  • Clemens Gühmann
  • Thomas Sikora
چکیده

This paper introduces the wavelet image two-line (Wi2l) coding algorithm for low complexity compression of images. The algorithm recursively encodes an image backwards reading only two lines of a wavelet subband, which are read in blocks of 512 bytes from flash memory. It thus only requires very little memory, i.e., a memory array for two wavelet subband lines, an array to store intermediate tree level data, and an array for writing binary data. A picture of 256 256 pixels would require 1152 bytes of memory. Computation time for the coding is derived analytically and measured on a real system. The times on a low-cost microcontroller for 256 256 grayscale pictures are measured as 0.25–0.6 s for encoding and 0.22–0.77 s for decoding. The algorithm can thus realize a low complexity system for compression of images when combined with a customized scheme for the wavelet transform; low complexity here refers to low memory, minimum write access to flash memory, usage of integer operations only, and low conceptual complexity (ease of implementation). As demonstrated in this paper, a compression performance similar to JPEG 2000 and the more recent Google WebP picture compression is achieved. The compression system uses flash memory (SD or MMC card) and a small camera sensor thus building an image communication system. It is also suitable for mobile devices or satellite communication. The underlying C source code is made publicly available. & 2015 Published by Elsevier B.V.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Planelet Transform: A New Geometrical Wavelet for Compression of Kinect-like Depth Images

With the advent of cheap indoor RGB-D sensors, proper representation of piecewise planar depth images is crucial toward an effective compression method. Although there exist geometrical wavelets for optimal representation of piecewise constant and piecewise linear images (i.e. wedgelets and platelets), an adaptation to piecewise linear fractional functions which correspond to depth variation ov...

متن کامل

Low Complexity Hybrid Lossy to Lossless Image Coder with Combined Orthogonal Polynomials Transform and Integer Wavelet Transform

In this paper, a new lossy to lossless image coding scheme combined with Orthogonal Polynomials Transform and Integer Wavelet Transform is proposed. The Lifting Scheme based Integer Wavelet Transform (LS-IWT) is first applied on the image in order to reduce the blocking artifact and memory demand. The Embedded Zero tree Wavelet (EZW) subband coding algorithm is used in this proposed work for pr...

متن کامل

Low complexity text and image compression for wireless devices and sensors

The primary intention in data compression has been for decades to improve the compression performance, while more computational requirements were accepted due to the evolving computer hardware. In the recent past, however, the attributes to data compression techniques have changed. Emerging mobile devices and wireless sensors require algorithms that get along with very limited computational pow...

متن کامل

Memory Eecient Scalable Line-based Image Coding

We study the problem of memory-eecient scalable image compression and investigate some tradeoos in the complexity vs. coding eeciency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simpliied arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demons...

متن کامل

Line Based, Reduced Memory, Wavelet Image Compression

This paper addresses the problem of low memory wavelet image compression. While wavelet or subband coding of images has been shown to be superior to more traditional transform coding techniques, little attention has been paid until recently to the important issue of whether both the wavelet transforms and the subsequent coding can be implemented in low memory without significant loss in perform...

متن کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Sig. Proc.: Image Comm.

دوره 37  شماره 

صفحات  -

تاریخ انتشار 2015