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distributed image coding for Digital image Recovery From the Print-Scan Channel

IEEE TRANSACTIONS ON image PROCESSING 2010年第3期19卷 702-711页

作者： Samadani, Ramin Mukherjee, Debargha Hewlett Packard Labs Multimedia Commun & Network Lab Palo Alto CA 94304 USA

A printed digital photograph is difficult to reuse because the digital information that generated the print may no longer be available. This paper describes a method for approximating the original digital image by combining a scan of the printed photograph with digital auxiliary information kept together with the print. We formulate and solve the approximation problem using a Wyner-Ziv coding framework. During encoding, the Wyner-Ziv auxiliary information consists of a small amount of digital data composed of a number of sampled luminance pixel blocks and a number of sampled color pixel values to enable subsequent accurate registration and color-reproduction during decoding. The registration and color information is augmented by an additional amount of digital data encoded using Wyner-Ziv coding techniques that recovers residual errors and lost high spatial frequencies. The decoding process consists of scanning the printed photograph, together with a two step decoding process. The first decoding step, using the registration and color auxiliary information, generates a side-information image which registers and color corrects the scanned image. The second decoding step uses the additional Wyner-Ziv layer together with the side-information image to provide a closer approximation of the original, reducing residual errors and restoring the lost high spatial frequencies. The experimental results confirm the reduced digital storage needs when the scanned print assists in the digital reconstruction.

关键词： Channel coding code termination color correction distributed image coding exponential-Golomb codes image registration print-scan channel Wyner-Ziv coding

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distributed image coding FOR IMFORMATION RECOVERY FROM THE PRINT-SCAN CHANNEL

DISTRIBUTED IMAGE CODING FOR IMFORMATION RECOVERY FROM THE P...

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15th IEEE International Conference on image Processing (ICIP 2008)

作者： Mukherjee, Debargha Samadani, Ramin HP Labs Palo Alto CA USA

ISBN: (纸本)9781424417650

A printed photograph is difficult to reuse because the digital pixels that generated it are no longer available. This paper describes approximating the original digital pixels by combining a scan of the printed photograph with small amounts of digital auxiliary information kept with the print, using an encoding such as a dense barcode. The auxiliary information enables accurate registration and color-reproduction, and the recovery of information lost due to the print-scan channel, by distributed source coding techniques. Approximating the original digital image enables many uses, including making high-fidelity reprints, as well as robust watermark detection. A block entropy coder using terminated tree codes for cosets of DCT coefficients is proposed for distributed image coding.

关键词： distributed image coding Wyner-Ziv coding exponential-Golomb codes code termination color-correction registration print-scan channel channel coding

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CLOUD-BASED distributed image coding

CLOUD-BASED DISTRIBUTED IMAGE CODING

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IEEE International Conference on image Processing

作者： Xiaodan Song Xiulian Peng Jizheng Xu Feng Wu Xidian Univ. Xi'an China

ISBN: (纸本)9781479957521

This paper proposes a cloud-based distributed image coding scheme (Cloud-DIC) to exploit the strong correlations with external partial-duplicate images in the cloud. It features both high coding efficiency and low encoder complexity, which makes it suitable for photo sharing on mobile devices. To get the side information in the cloud, a thumbnail of the current image is transmitted to retrieve highly correlated images and reconstruct through geometrical registration and adaptive patched-based stitching. The current image is then compressed by a transform-domain syndrome coding, bitplane by bitplane. Once a bitplane is received, the decoded high-quality image is further used to refine the side information in the cloud, which will benefit the coding of following bit-planes and the reconstruction. Experimental results on a landmark image database show that it can largely enhance the coding efficiency both subjectively and objectively with up to 5 dB gains and 58% bits saving over JPEG.

关键词： cloud computing image coding image reconstruction image registration image retrieval image segmentation visual databases Cloud-DIC cloud-based distributed image coding geometrical registration landmark image database patched-based stitching Correlation Decoding Encoding image coding image reconstruction Silicon Transform coding cloud-based coding distributed image coding local feature descriptors image coding image reconstruction image retrieval visual databases transform coding Cloud Computing image registration DEcoding image segmentation Current Pick encoding complexity side information CLOUDS Clouds Silicon

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QR Encoded Auxiliary Information for Print-Scan Channel image Recovery 2

QR Encoded Auxiliary Information for Print-Scan Channel Imag...

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2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT)

作者： Geetha, C. Manjunathachari, K. Prasad, M. N. Giri MTIET Dept ECE Dandapalle India JNTUACE Dept ECE Anantapur Andhra Pradesh India

ISBN: (纸本)9781509037049

In most cases auxiliary information encoded from printed photograph is not sufficient to recover the original digital image because of hierarchical distortions introduced during scanning process. The proposed approach can able to overcome this problem by extracting metrics such as color, luminance and spatial frequencies from input image and encoded in separate channel using QR pattern generation which will leads quality in print-scan images with lesser appearance losses. In existing methods Extracted digital auxiliary information is stored by printing it using invisible inks or dense barcodes. In this paper we introduces the concept of color QR images, which has high embedding capacity and easy to embed inside input image with bounded probability of detection error. Here we develop cyan (C), magenta (M), and yellow (Y) QR pattern which is carried along with print colorant scan channels as a three unique QR codes, used for capturing color QR pattern. The proposed technique consists of two main processes namely encoding followed by color QR pattern generation and distortion less QR embedding process. Encoding process generates auxiliary information about input image and it is kept together with the print as a color QR image pattern. Embedding process uses half toning process to increase visible appearance in order to eliminate the distortions introduced during decoding process. Our experimental results proved that the proposed QR pattern based approach can embed detailed information about the digital image with least complex decoding process.

关键词： QR code color correction distributed image coding image registration print-scan channel

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QR Encoded Auxiliary Information for Print-Scan Channel image Recovery

QR Encoded Auxiliary Information for Print-Scan Channel Imag...

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IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： C. Geetha K. Manjunathachari M.N. Giri Prasad Dept. of ECE MTIET Dept. of ECE JNTUACE

ISBN: (纸本)9781509037056

关键词： QR code color correction distributed image coding image registration print-scan channel quick release COLOR CORRECTION Bar Codes image registration Error detection image coding images embedding biological control image imagery (Psychotherapy) Digital images

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