Digital Image Forensics: There is More to a Picture than by Husrev Taha Sencar, Nasir Memon

By Husrev Taha Sencar, Nasir Memon

Photographic imagery has come a ways from the pinhole cameras of the 19th century. electronic imagery, and its functions, develops in tandem with modern society’s subtle literacy of this refined medium. This e-book examines the ways that electronic photographs became ever extra ubiquitous as criminal and scientific proof, simply as they've got turn into our basic resource of stories and feature changed paper-based monetary documentation.   Crucially, the contributions additionally learn the very profound difficulties that have arisen along the electronic photograph, problems with veracity and progeny that call for systematic and targeted reaction: It seems genuine, yet is it? What digicam captured it? Has it been doctored or subtly altered? trying to supply solutions to those slippery concerns, the e-book covers how electronic pictures are created, processed and saved sooner than relocating directly to set out the most recent concepts for forensically studying photos, and at last addressing functional concerns similar to court admissibility. In an atmosphere the place even beginner clients can regulate electronic media, this authoritative booklet will do a lot so stabilize public belief in those actual, but tremendously versatile, photographs of the area round us.

Show description

Read Online or Download Digital Image Forensics: There is More to a Picture than Meets the Eye PDF

Similar graphics & multimedia books

Advances in Image And Video Segmentation

Snapshot and video segmentation is likely one of the most important projects of photo and video research: extracting details from a picture or a series of pictures. within the final forty years, this box has skilled major development and improvement, and has ended in a digital explosion of released details.

Signal Processing for Computer Vision

Sign Processing for machine imaginative and prescient is a special and thorough therapy of the sign processing points of filters and operators for low-level machine imaginative and prescient. desktop imaginative and prescient has improved significantly over contemporary years. From equipment simply appropriate to easy pictures, it has constructed to house more and more advanced scenes, volumes and time sequences.

Digital Modeling of Material Appearance

Content material: Acknowledgments, web page ix1 - creation, Pages 1-42 - historical past, Pages 5-263 - statement and type, Pages 27-464 - Mathematical phrases, Pages 47-605 - common fabric types, Pages 61-1216 - really expert fabric types, Pages 123-1597 - size, Pages 161-1918 - getting older and weathering, Pages 193-2259 - Specifying and encoding visual appeal descriptions, Pages 227-24210 - Rendering visual appeal, Pages 243-275Bibliography, Pages 277-302Index, Pages 303-317

Microsoft PowerPoint 2013: Illustrated Brief

Praised by means of teachers for its concise, concentrated procedure and uncomplicated structure, the Illustrated sequence engages either desktop newcomers and sizzling photographs in learning Microsoft PowerPoint 2013 quick and successfully. talents are obtainable and easy-to-follow because of the Illustrated sequence' hallmark 2-page structure, which permits scholars to determine a whole job in a single view.

Extra resources for Digital Image Forensics: There is More to a Picture than Meets the Eye

Sample text

2, designed to convert the acquired raw CFA image into a more idealized “raw” image. The processing blocks required for a specific camera vary depending upon the hardware and the user expectations. Lower cost hardware typically leaves more artifacts in the raw image to be corrected, but the user expectations are often lower as well, so the choice of correction blocks used with a particular camera is the result of a number of system engineering and budget decisions. Few, if any, cameras use all of the processing blocks shown in Fig.

E. Adams Jr. and B. Pillman A flaw, such as dirt, on the cover glass of the sensor will produce local variation in sensitivity that depends upon the f/number of the taking lens, distance from the exit pupil of the lens to the sensors, and the distance from the cover glass to the surface of the sensor. Generally, the shadow of the flaw cast onto the sensor subtends the same angle as the cone of light rays coming from the exit pupil of the lens. At lower f/numbers, the flaw will produce modest gain variations over a relatively large area, while at higher f/numbers, the flaw will produce a more compact region of more significant gain variations.

1 0 0 1 1 ⎠ h= ⎝ (32) 4 1 0 0 1 h (x, y) = 1 δδ 3 2x , 2y 3 H (ξ, η) = cos (3π ξ, π η) (33) (34) A plot of the resulting filtered signal along the ξ -axis is given in Fig. 25. In Fig. 25 only the fundamental of the unfiltered sampled signal is shown to simplify the figure. It is clear that while the aliasing has been reduced by the four-spot antialiasing filter, it is far from eliminated. Also, comparing the unfiltered signal to its antialiased version shows a marked distortion of the frequency response.

Download PDF sample

Rated 5.00 of 5 – based on 29 votes