'Dct coefficients' diaporamas de présentation

Scene Classification: Computational and Cognitive Approaches

Scene Classification: Computational and Cognitive Approaches. Hamed Kiani. Introduction. OUTLINE. Background. Scene Classification. Conclusion. Introduction. Scene

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Image Processing in the block DCT Space

Jayanta Mukhopadhyay Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur, 721302, India jay@cse.iitkgp.ernet.in. Image Processing in the block DCT Space. Processing in the spatial domain. Processing in the compressed domain. Motivations.

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Biomedical Person Identification via Eye Printing

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Image processing in the compressed domain

SSIP 2009. Image processing in the compressed domain. Assist.Eng. Camelia Florea, Technical University of Cluj-Napoca, ROMANIA. Contents. Brief Overview JPEG standard coding The two ways to process JPEG compressed images DCT Coefficients JPEG features space for image segmentation

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A Markov Process Based Approach to Effective Attacking JPEG Steganography

A Markov Process Based Approach to Effective Attacking JPEG Steganography. By Y. Q. Shi, Chunhua Chen, Wen Chen NJIT Presented by Hanlin Hu and Xiao Zhang. Steganalysis: A Markov Process Based Approach. Steganography, Different Approaches & Techniques

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Ternary Embedding Technique

Ternary Embedding Technique. CHEN CHEN XIAOYU HUANG. Introduction of Steganography. A group of data hiding technique ,which hides data in undetectable way. Features extracted from modified images and original images have to be statistically undistinguishable

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JPEG: Joint Photographic Expert Group

JPEG: Joint Photographic Expert Group. JPEG is an standard for compression and decompression of still images. It was developed jointly by ITU and ISO. JPEG applies to color and gray-scaled still images. There are four main steps in the JPEG compression process:. Image Preparation. Plane:

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Content-Based Image Retrieval Using Block Discrete Cosine Transform

Content-Based Image Retrieval Using Block Discrete Cosine Transform. Presented by Te-Wei Chiang Department of Information Networking Technology Chihlee Institute of Technology 2005/12/19. Outline. 1. Introduction. 2. Problem Formulation. 3. Proposed Image Retrieval System.

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Globally Optimal Wavelet-Based Motion Estimation using Interscale Edge and Occlusion Models

Globally Optimal Wavelet-Based Motion Estimation using Interscale Edge and Occlusion Models. Levent Sendur lss29@cam.ac.uk Department of Psychiatry, University of Cambridge, UK. and. Onur G. Guleryuz oguleryuz@erd.epson.com Epson Palo Alto Laboratory Palo Alto, CA.

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The Unseen Challenge Data Sets

The Unseen Challenge Data Sets. Anderson Rocha Walter Scheirer Siome Goldenstein Terrance Boult. The Data Sets. Two data sets are provided PNG: lossless compression JPEG: lossy compression Prevalence of images on the Internet Sources: Google images, Yahoo Images, and Flickr.

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COLOR CONSTANCY IN THE COMPRESSED DOMAIN

Jayanta Mukhopadhyay Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur, 721302, India j ay@cse.iitkgp.ernet.in Sanjit K. Mitra Ming Hsieh Dept. of Electrical Engineering University of Southern California Los Angeles, CA 90089, USA s kmitra@usc.edu.

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Recognition of a Moving Object in a Stereo Environment Using a Content Based Image Database

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Hash-Aided Motion Estimation

Hash-Aided Motion Estimation. Alwin Anbu and Argyrios Zymnis. Outline. Motivation Approach to Problem Results Conclusion. Motivation. ME computationally intensive Usually performed at Encoder to reduce Decoder complexity Distributed Video Coding, aimed at reducing encoder complexity

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Image and Video Compression

Image and Video Compression. Two dimensional array of pixel values Spatial redundancy and temporal redundancy Human eye is less sensitive to chrominance signal than to luminance signal (U and V can be coarsely coded) Human eye is less sensitive to the higher spatial frequency components

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Eyes detection in compressed domain using classification

Eyes detection in compressed domain using classification. Technical University of Cluj-Napoca Faculty of Electronics, Telecommunications and Information Technology. Eng. Alexandru POPA alexandru_popa@autenticmedia.com. Contents:. Object detection in digital images

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Data Compression (2)

Data Compression (2). Hai Tao. Pulse code modulation . The process of digitizing audio signal is called pulse code modulation Sampling the analog waveform at a minimum rate Each sample is quantized using a fixed number of bits To reduce the amount of data, we can

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A Novel Error Correction Method without Overhead for Corrupted JPEG Images

A Novel Error Correction Method without Overhead for Corrupted JPEG Images. M. Bingabr and P.K. Varshney Syracuse University ICIP 2002. Outline. Introduction Detection And Correction Algorithm for An Image Block Experimental Results. Introduction. JPEG overview A C. DC. DPCM. A. DCT.

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CIT 380: Securing Computer Systems

CIT 380: Securing Computer Systems. Modern Cryptography. Steganography. Hiding messages in another text (the covertext) so that no one except intended recipient knows a message has been sent.

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