Proceedings ArticleDOI
Image Analogy Based Document Image Compression
Poornima Behl,Santanu Chaudhury,Brejesh Lall +2 more
- pp 223-226
TLDR
An image analogy based super-resolution technique that can be used as an effective tool for document image compression and multi-resolution viewing of the document.Abstract:
In this work, we propose an image analogy based super-resolution technique that can be used as an effective tool for document image compression and multi-resolution viewing of the document. The technique uses Dugad and Ahuja method for resizing document images. Next, image analogies framework is applied to add the missing high frequency information. The encoder allows user to compress spatially lower resolution version of the image using any standard image compression technique, thus enabling substantial compression. At the decoder end, the image is resized using Dugad and Ahuja method and then enhanced using image analogy by appending the missing high frequency details, using a training pair of the same class of document image.read more
Citations
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Proceedings Article
A novel scheme of orientation and scale mapped RDC (OS-RDC) to improve compression in document images ensuring quality preservation
Apurba Das,R Remya +1 more
TL;DR: A novel algorithm of Orientation Scale mapped RDC (OS-RDC) which can identify and cache repeated image blocks even if they are of different size and orientations is proposed.
Journal ArticleDOI
An effective image compression technique based on burrows wheeler transform with set partitioning in hierarchical trees
TL;DR: The efficient image compression which consists of Burrows–Wheeler transform (BWT) with set partitioning in hierarchical trees (SPIHT) with lossless compression technique performed to achieve a summary of the ROI area is proposed.
References
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Journal ArticleDOI
Example-based super-resolution
TL;DR: This work built on another training-based super- resolution algorithm and developed a faster and simpler algorithm for one-pass super-resolution that requires only a nearest-neighbor search in the training set for a vector derived from each patch of local image data.
Proceedings ArticleDOI
Image analogies
TL;DR: This paper describes a new framework for processing images by example, called “image analogies,” based on a simple multi-scale autoregression, inspired primarily by recent results in texture synthesis.
Journal ArticleDOI
A frequency domain approach to registration of aliased images with application to super-resolution
TL;DR: A frequency domain technique to precisely register a set of aliased images, based on their low-frequency, aliasing-free part, and a high-resolution image is then reconstructed using cubic interpolation.
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