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Image compression using sub-resolution images

A sub-resolution, resolution technology, applied in the field of image compression, which can solve problems such as weaknesses in efficiency, quality or flexibility

Active Publication Date: 2016-01-20
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, each of these techniques has weaknesses in terms of efficiency, quality or flexibility

Method used

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  • Image compression using sub-resolution images
  • Image compression using sub-resolution images
  • Image compression using sub-resolution images

Examples

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Embodiment Construction

[0023] While illustrative embodiments for particular applications have been described in this disclosure, it should be understood that the embodiments are not limited thereto. Other embodiments are possible, and modifications may be made to the embodiments within the spirit and scope of the teachings herein, and in additional fields in which the embodiments would be of significant utility. Further, when a particular feature, structure or characteristic is described in conjunction with an embodiment, it is considered to be within the knowledge of those skilled in the relevant art to implement such feature, structure or characteristic in combination with other embodiments, whether or not explicitly described.

[0024] The present disclosure generally relates to methods, systems and articles of manufacture for compressing images. Embodiments, including those explicitly disclosed herein, achieve lossless or near-lossless image compression, while also achieving significant advantag...

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Abstract

Methods, systems, and articles of manufacture for image compression and decompression using sub-resolution images are disclosed. Compressing the image includes: determining a plurality of entropy code sets based on statistically similar regions in the input image; generating one or more sub-resolution images comprising a first resolution image containing the plurality of entropy code sets; using the generated one or more sub-resolution images to control one or more compression parameters including entropy codes, encode the input image; and output the encoded input image and the generated one or more sub-resolution images as compressed Entropy encoded image files. Decompressing the image includes: decompressing the image file to access the encoded compressed input image and a corresponding sub-resolution image for each of the plurality of compression parameters; and using the corresponding sub-resolution image to control one of the plurality of compression parameters Each of , while decoding the encoded compressed input image.

Description

technical field [0001] This disclosure relates generally to image compression. Background technique [0002] The widespread availability of digital cameras, camera-equipped mobile phones and handheld devices, and other convenient image capture devices has resulted in a large number of images that are routinely uploaded to various web-based imaging applications. Applications such as these highlight the continuing need for image compression techniques that increase efficiency, quality, and flexibility. [0003] The Portable Network Graphics (PNG) format is a frequently used format for storing and transmitting images over a network such as the Internet. Other image formats are also frequently used in the Internet environment, such as Graphics Interchange Format (GIF), Tagged Image File Format (TIFF), and Joint Photographic Experts Group (JPEG). PNG and GIF are considered lossless compression methods, while JPEG is lossy compression method. TIFF can sometimes use lossy or los...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/463H04N19/91
CPCH04N19/463H04N19/91H04N19/00H04N19/50G06T9/004
Inventor 于尔基·安特罗·阿拉奎加拉
Owner GOOGLE LLC