VLSI Architecture of DWT Based Watermark Encoder for Secure Still Digital Camera Design

2010 ◽  
Author(s):  
A Darji ◽  
A N Chandorkar ◽  
S N Merchant ◽  
V Mistry
Keyword(s):  
Digital Camera ◽  
Vlsi Architecture ◽  
Camera Design

VLSI architecture and FPGA prototyping of a digital camera for image security and authentication

2006 ◽  
Author(s):  
Oluwayomi Adamo ◽  
Saraju P. Mohanty ◽  
Elias Kougianos ◽  
Murali Varanasi ◽  
Wei Cai
Keyword(s):  
Digital Camera ◽  
Vlsi Architecture ◽  
Image Security

scholarly journals Looking at Shirley, the Ultimate Norm: Colour Balance, Image Technologies, and Cognitive Equity

2009 ◽  
Vol 34 (1) ◽  
Author(s):  
Lorna Roth
Keyword(s):  
Race Relations ◽  
Dynamic Range ◽  
Visual Representation ◽  
Digital Camera ◽  
Adjustment Processes ◽  
Light Skin ◽  
History Of ◽  
Camera Design ◽  
Original Concept

Abstract: Until recently, due to a light-skin bias embedded in colour film stock emulsions and digital camera design, the rendering of non-Caucasian skin tones was highly deficient and required the development of compensatory practices and technology improvements to redress its shortcomings. Using the emblematic “Shirley” norm reference card as a central metaphor reflecting the changing state of race relations/aesthetics, this essay analytically traces the colour adjustment processes in the industries of visual representation and identifies some prototypical changes in the field. The author contextualizes the history of these changes using three theoretical categories: the ‘technological unconscious’ (Vaccari, 1981), ‘dysconsciousness’ (King, 2001), and an original concept of ‘cognitive equity,’ which is proposed as an intelligent strategy for creating and promoting equity by inscribing a wider dynamic range of skin tones into image technologies, products, and emergent practices in the visual industries.Résumé : Jusqu’à récemment, en raison d’un préjugé favorisant la peau claire dans les films couleurs et dans la conception des caméras numériques, la reproduction des couleurs de peaux non-caucasiennes a été très déficiente, exigeant le développement de diverses techniques de compensation et d’amélioration. Utilisant la carte de référence normative « Shirley » comme métaphore pour refléter l'évolution des rapports entre les races et leurs pratiques esthétiques, cet essai analyse les processus d’ajustement de la couleur dans les industries de la représentation visuelle et identifie certains prototypes de changements dans le domaine. L’auteur situe ces changements historiquement en se rapportant à trois concepts théoriques : « l’inconscient technologique » (Vaccari, 1981), la « dysconscience » (« dysconsciousness » – King, 2001), et un concept original, « l’équité cognitive », proposé comme stratégie intelligente pour créer et promouvoir l'équité en inscrivant un plus grand éventail de couleurs de peau dans les technologies et produits de l'image et dans les pratiques émergeantes des industries visuelles.

Using a Digital Camera for Documentation

2002 ◽  
Vol 12 (4) ◽  
pp. 145-146
Author(s):  
Steven C. Chang
Keyword(s):  
Digital Camera

A testing paradigm for quantifying ICC profilers

2019 ◽  
Vol 2019 (1) ◽  
pp. 80-85
Author(s):  
Pooshpanjan Roy Biswas ◽  
Alessandro Beltrami ◽  
Joan Saez Gomez
Keyword(s):  
Digital Camera ◽  
Visual Assessment ◽  
Just Noticeable Difference ◽  
Color Management ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Digital File ◽  
Mapping Process ◽  
Testing Paradigm

To reproduce colors in one system which differs from another system in terms of the color gamut, it is necessary to use a color gamut mapping process. This color gamut mapping is a method to translate a specific color from a medium (screen, digital camera, scanner, digital file, etc) into another system having a difference in gamut volume. There are different rendering intent options defined by the International Color Consortium [5] to use the different reproduction goals of the user [19]. Any rendering intent used to reproduce colors, includes profile engine decisions to do it, i.e. looking for color accuracy, vivid colors or pleasing reproduction of images. Using the same decisions on different profile engines, the final visual output can look different (more than one Just Noticeable Difference[16]) depending on the profile engine used and the color algorithms that they implement. Profile performance substantially depends on the profiler engine used to create them. Different profilers provide the user with varying levels of liberty to design a profile for their color management needs and preference. The motivation of this study is to rank the performance of various market leading profiler engines on the basis of different metrics designed specifically to report the performance of particular aspects of these profiles. The study helped us take valuable decisions regarding profile performance without any visual assessment to decide on the best profiler engine.

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