طراحی یک سیستم فشرده‌سازی/بازسازی تصاویر متنی با درجه‌ی تفکیک مکانی بالا مبتنی بر فرا تفکیک‌پذیری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده مهندسی برق - دانشگاه صنعتی شاهرود - شاهرود - ایران

2 گروه الکترونیک - دانشکده مهندسی برق - دانشگاه صنعتی شاهرود - شاهرود - ایران

چکیده

در این مقاله یک سیستم فشرده‌سازی/بازسازی تصاویر متنی با درجه‌ی تفکیک مکانی بالا مبتنی بر فرا تفکیک‌پذیری پیشنهاد شده‌است. در روش پیشنهادی، برای رسیدن به میزان فشرده‌سازی بیشتر از ایده کاهش ابعاد در تصاویر متنی استفاده شده‌است. کاهش ابعاد در کنار عمل فشرده‌سازی ممکن است باعث تنزل در کیفیت تصویر شود. بنابراین باید روشی انتخاب شود که واحد بازسازی بتواند در کنار افزایش ابعاد تصویر، اثرات مخرب تأثیر گذار بر تصویر را نیز اصلاح کند. در مرحله بازسازی از روش‌ فرا تفکیک‌پذیری استفاده شده‌است. در این روش، تصویر وضوح پایین ورودی به سه لایه تقسیم و سپس هر لایه براساس اهمیت اطلاعاتی آن با یک روش خاص بزرگ‌نمایی شده‌است. در نهایت لایه‌های بزرگ‌نمایی شده با هم ترکیب‌ و تصویر وضوح بالای نهایی تشکیل شده‌است. یک ویژگی مهم روش پیشنهادی، قابلیت ترکیب آن با روش‌های فشرده‌سازی مختلف است. در این مقاله، ترکیب روش پیشنهادی با هر یک از روش‌های فشرده‌سازی JPEG، JPEG2000 و SPIHT بررسی و ملاحظه می‌شود، جواب قابل قبولی از نظر معیارهای بازشناسی متن (OCR) و متوسط امتیاز نظرسنجی (MOS) بدست آمده است گرچه از نظر معیار پیک سیگنال به نویز (PSNR) روش‌های دیگر بهتر از روش پیشنهادی عمل کرده‌اند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Designing a Codec System for High Resolution Textual Images Based on Super Resolution

نویسندگان [English]

  • Saeid Moradi 1
  • Hadi Grailu 2
1 Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran
2 Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran,
چکیده [English]

In this paper, a CODEC system based on super resolution, is proposed for compression of high resolution textual images. It employs image resizing to decrease image dimensions and consequently, to improve the compression ratio; but at the other hand, it may reduce the image quality. Therefore, the decompression unit employs super resolution to simultaneously increase the reconstructed image dimensions and quality. In the employed interpolation-based super-resolution method, using an efficient textual image matting algorithm, the input low-resolution textual image is decomposed into three layers after which, each layer is enlarged using a particular method. Finally, the enlarged layers are combined to build the high resolution reconstructed textual image. An interesting feature of the proposed method is the ability to use existing compression methods such as JPEG, JPEG2000 and SPIHT. We have employed the aforementioned compression methods in the proposed CODEC system and evaluated the compression results with respect to OCR rate, Mean Opinion Score (MOS), and PSNR measures. Considering the OCR and MOS measures, the proposed method outperformed the others but not so with respect to PSNR.

کلیدواژه‌ها [English]

  • textual image compression
  • JPEG compression
  • JPEG2000 compression
  • SPIHT compression
  • super resolution
  • optical character recognition

مراجع

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