&lt;title&gt;Text extraction via an edge-bounded averaging and a parametric character model&lt;/title&gt;

Fan, Jian

doi:10.1117/12.472839

Cited by 7 publications

(5 citation statements)

References 14 publications

(20 reference statements)

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“…In segmentation-driven image compression techniques, the image to be compressed is first segmented [16]. Since segmentation is not the main focus of this paper, we used Fan's text segmentation algorithm [17] in our tests for convenience. Any other text segmentation algorithm could be used, as well.…”

Section: Segmentation-driven Rate Allocationmentioning

confidence: 99%

Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA

Zaghetto

Queiroz

2007

IEEE Trans. on Image Process.

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In this paper, we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e., composed of text, graphics, and pictures. Even though mixed contents (compound) documents usually require the use of multiple compressors, we apply a single compressor for both text and pictures. For that, distortion is taken into account differently between text and picture regions. Our approach is to use a segmentation-driven adaptation strategy to change the H.264/AVC quantization parameter on a macroblock by macroblock basis, i.e., we deviate bits from pictorial regions to text in order to keep text edges sharp. We show results of a segmentation driven quantizer adaptation method applied to compress documents. Our reconstructed images have better text sharpness compared to straight unadapted coding, at negligible visual losses on pictorial regions. Our results also highlight the fact that H.264/AVC-INTRA outperforms coders such as JPEG-2000 as a single coder for compound images.

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Section: Segmentation-driven Rate Allocationmentioning

confidence: 99%

Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA

Zaghetto

Queiroz

2007

IEEE Trans. on Image Process.

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“…We assume that in these text regions the viewer would pay greater attention to edges. In our tests, we use Fan's text segmentation algorithm [15]. The next step is to classify each macroblock (16x16 pixels block), denoted here as MB.…”

Section: Segmentation-driven Rate Allocationmentioning

confidence: 99%

Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding

Zaghetto¹,

Queiroz²

2007

2007 IEEE International Conference on Image Processing

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In this paper we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e. composed of text, graphics and pictures. Even though mixed contents (compound) documents usually require the use of multiple compressors, we apply a single compressor for both text and pictures. For that, distortion is taken into account differently between text and picture regions. Our approach is to use a segmentation-driven adaptation strategy to change the H.264/ AVC quantization parameter on a macroblock by macroblock basis, i.e. we deviate bits from pictorial regions to text in order to keep text edges sharp. We show results of a segmentation driven quantizer adaptation method applied to compress documents. Our reconstructed images have better text sharpness compared to straight unadapted coding, at negligible visual losses on pictorial regions. Our results also highlight the fact that H.264/AVC-INTRA outperforms coders such as JPEG-2000 as a single coder for compound images.

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“…Since layer decomposition is not the main focus of this paper, we used Fan's text segmentation algorithm [10] in our tests, for convenience.…”

Section: Introductionmentioning

confidence: 99%

Improved layer processing for MRC compression of scanned documents

Zaghetto

Queiroz

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

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The Mixed Raster Content (MRC) document compression is a well documented standard. Its efficiency for representing sharp text and graphics over a background has been extensively presented. Scanned documents, however, are difficult to be dealt with because of soft transitions. In one of our previous works we presented a pre/post-processing algorithm for MRC compression of scanned images that sharpens the edges, before compression, and softens it again, after reconstruction. The present paper uses the same basic idea but describes three new features that improve, in a rate-distortion sense, the compression performance. First, the real bitrate is used to determine the pre/post-processing parameters. Second, the Mask layer and the edge sharpening/softening map have their quality improved and, third, layer resolution change has been explored. Experimental results show that the method not only provides higher subjective quality, but it can yield up to 2.5 dB gains in PSNR against single coder approaches, in the compression ranges of interest.

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<title>Text extraction via an edge-bounded averaging and a parametric character model</title>

Cited by 7 publications

References 14 publications

Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA

Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA

Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding

Improved layer processing for MRC compression of scanned documents

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