935 research outputs found
An adaptive palette reordering method for compressing color-indexed image
Center for Multimedia Signal Processing, Department of Electronic and Information EngineeringRefereed conference paper2006-2007 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe
A lossless coding scheme for encoding color-indexed video sequences
Centre for Signal Processing, Department of Electronic and Information EngineeringRefereed conference paper2007-2008 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe
Animated GIF optimization by adaptive color local table management
After thirty years of the GIF file format, today is becoming more popular
than ever: being a great way of communication for friends and communities on
Instant Messengers and Social Networks. While being so popular, the original
compression method to encode GIF images have not changed a bit. On the other
hand popularity means that storage saving becomes an issue for hosting
platforms. In this paper a parametric optimization technique for animated GIFs
will be presented. The proposed technique is based on Local Color Table
selection and color remapping in order to create optimized animated GIFs while
preserving the original format. The technique achieves good results in terms of
byte reduction with limited or no loss of perceived color quality. Tests
carried out on 1000 GIF files demonstrate the effectiveness of the proposed
optimization strategy
Colored fused filament fabrication
Fused filament fabrication is the method of choice for printing 3D models at
low cost and is the de-facto standard for hobbyists, makers, and schools.
Unfortunately, filament printers cannot truly reproduce colored objects. The
best current techniques rely on a form of dithering exploiting occlusion, that
was only demonstrated for shades of two base colors and that behaves
differently depending on surface slope.
We explore a novel approach for 3D printing colored objects, capable of
creating controlled gradients of varying sharpness. Our technique exploits
off-the-shelves nozzles that are designed to mix multiple filaments in a small
melting chamber, obtaining intermediate colors once the mix is stabilized.
We apply this property to produce color gradients. We divide each input layer
into a set of strata, each having a different constant color. By locally
changing the thickness of the stratum, we change the perceived color at a given
location. By optimizing the choice of colors of each stratum, we further
improve quality and allow the use of different numbers of input filaments.
We demonstrate our results by building a functional color printer using low
cost, off-the-shelves components. Using our tool a user can paint a 3D model
and directly produce its physical counterpart, using any material and color
available for fused filament fabrication
Lossless Compression of Color Palette Images with One-Dimensional Techniques
Palette images are widely used on the World Wide Web (WWW) and in game-cartridge applications. Many images used on the WWW are stored and transmitted after they are compressed losslessly with the standard graphics interchange format (GIF), or portable network graphics (PNG). Well-known 2-D compression schemes, such as JPEG-LS and JPEG-2000, fail to yield better compression than GIF or PNG due to the fact that the pixel values represent indices that point to color values in a look-up table. To improve the compression performance of JPEG-LS and JPEG-2000 techniques, several researchers have proposed various reindexing algorithms. We investigate various compression techniques for color palette images. We propose a new technique comprised of a traveling salesman problem (TSP)-based reindexing scheme, Burrows-Wheeler transformation, and inversion ranks. We show that the proposed technique yields better compression gain on average than all the other 1-D compressors and the reindexing schemes that utilize JPEG-LS or JPEG-2000
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