Image compression/decompression based on mathematical transform, reduction/expansion, and image sharpening
- San Francisco, CA
- Livermore, CA
An image represented in a first image array of pixels is first decimated in two dimensions before being compressed by a predefined compression algorithm such as JPEG. Another possible predefined compression algorithm can involve a wavelet technique. The compressed, reduced image is then transmitted over the limited bandwidth transmission medium, and the transmitted image is decompressed using an algorithm which is an inverse of the predefined compression algorithm (such as reverse JPEG). The decompressed, reduced image is then interpolated back to its original array size. Edges (contours) in the image are then sharpened to enhance the perceptual quality of the reconstructed image. Specific sharpening techniques are described.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- DOE Contract Number:
- W-7405-ENG-48
- Assignee:
- Regents of University of California (Oakland, CA)
- Patent Number(s):
- US 5703965
- OSTI ID:
- 871301
- Country of Publication:
- United States
- Language:
- English
Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images
|
journal | December 1993 |
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Related Subjects
compression
decompression
based
mathematical
transform
reduction
expansion
sharpening
represented
array
pixels
decimated
dimensions
compressed
predefined
algorithm
jpeg
involve
wavelet
technique
reduced
transmitted
limited
bandwidth
transmission
medium
decompressed
inverse
reverse
interpolated
original
size
edges
contours
sharpened
enhance
perceptual
quality
reconstructed
specific
techniques
described
transmission medium
limited bandwidth
reconstructed image
image array
image compression
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