The Generalized Gabor Scheme of Image Representation in Biological and Machine Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
Character Scaling by Contour Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Progressive image transmission for multimedia applications
Virtual worlds and multimedia
Multispectral Random Field Models for Synthesis and Analysis of Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and Video Compression Standards: Algorithms and Architectures
Image and Video Compression Standards: Algorithms and Architectures
Software pixel interpolation for digital still cameras suitable for a 32-bit MCU
IEEE Transactions on Consumer Electronics
Optimal reconstruction of images from localized phase
IEEE Transactions on Image Processing
Correlation-based approach to color image compression
Image Communication
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Optimal color spaces for image demosaicing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Image encryption through using chaotic function and graph
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Novel adaptive color space transform and application to image compression
Image Communication
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Most color compression systems reduce the redundancies between the RGB color components by transforming the color primaries into a decorrelated color space, such as YIQ or YUV. In this paper a different compression approach is proposed. Since the high correlation of the RGB color channels implicitly suggests a localized functional relation between the components, it is used here in an alternative framework, by approximating subordinate colors as functions of a base color allowing that only a reduced number of parameters is required for coding the color information. Furthermore, since this correlation is particularly high locally, the image is first sub-divided into regions and for each region the correlation is analyzed and exploited separately. The size of the encoded regions is gradually reduced to allow progressively a more refined description of the transmitted image. Compression results of this progressive approach, which could be useful for slower communication channels, are presented and compared with JPEG as a typical example of the decorrelation approach. Our conclusion is that the proposed new approach to progressive image coding could be superior to presently available compression techniques.