کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
538227 1450140 2015 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of the wavelet image two-line coder: A low complexity scheme for image compression
ترجمه فارسی عنوان
ارزیابی کدنویسی خطی تصویر موجک: یک طرح پیچیده کم برای فشرده سازی تصویر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• We provide a detailed analysis in terms of the wavelet image two-line coder (Wi2l).
• We evaluate the performance of Wi2l in comparison to Google WebP and JPEG2000.
• We measure the coding times on a 16-bit microcontroller.
• A finding is that Wi2l is competitive to the state-of-the-art in image compression.
• We provide the C source code of Wi2l for application on tiny camera sensor nodes.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 37, September 2015, Pages 58–74
نویسندگان
, , , ,