<title>Mixed raster content (MRC) model for compound image compression</title>

Abstract

This paper will describe the Mixed Raster Content (MRC) method for compressing compound images, containing both binary text and continuous-tone images. A single compression algorithm that simultaneously meets the requirements for both text and image compression has been elusive. MRC takes a different approach. Rather than using a single algorithm, MRC uses a multi-layered imaging model for representing the results of multiple compression algorithms, including ones developed specifically for text and for images. As a result, MRC can combine the best of existing or new compression algorithms and offer different quality-compression ratio tradeoffs. The algorithms used by MRC set the lower bound on its compression performance. Compared to existing algorithms, MRC has some image-processing overhead to manage multiple algorithms and the imaging model. This paper will develop the rationale for the MRC approach by describing the multilayered imaging model in light of a rate-distortion trade-off. Results will be presented comparing images compressed using MRC, JPEG and state-of-the-art wavelet algorithms such as SPIHT. MRC has been approved or proposed as an architectural model for several standards, including ITU Color Fax, IETF Internet Fax, and JPEG 2000.

A Comparative Study on Noise Removal of Compound Images using Different Types of Filters

“…In recent development of electronic imaging and scanning devices, documents are presented in web for printing systems [1]. We can see a lot of visual contents in the web as PDF files, web pages, online games as well as images.…”

Hybrid Compression Scheme for Scanned Documents

“…In single/multi-page document compression, each page may be individually encoded by some continuous-tone image compression algorithm, such as JPEG [4] or JPEG2000 [5]. Multi-layer approaches such as the mixed raster content (MRC) imaging model [6] are also challenged by soft edges in scanned documents, often requiring pre-and post-processing.…”

<title>Rate-distortion-based segmentation for MRC compression</title>

“…Block-based approaches 1-4 segment non-overlapping blocks of pixels into different classes, and compress each class differently according to its characteristics. On the other hand, layer-based approaches [5][6][7] partition a document image into different layers, such as the background layer and the foreground layer. Then, each layer is coded as an image independently from other layers.…”