Invention Grant
- Patent Title: Systems and methods for near lossless image compression
- Patent Title (中): 近无损图像压缩的系统和方法
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Application No.: US13861456Application Date: 2013-04-12
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Publication No.: US09245352B1Publication Date: 2016-01-26
- Inventor: Jyrki Antero Alakuijala , Peter Szabo
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06T9/00
- IPC: G06T9/00

Abstract:
Systems and methods for iterative near lossless image compression are provided. An exemplary computer-implemented method of compressing image data can include performing a plurality of compression iterations. Each compression iteration can include at least one decision regarding a loss of image data. The method can also include updating an entropy model following each compression iteration. The entropy model can describe an entropy associated with selected of a plurality of data blocks. The at least one decision regarding the loss of image data can be decided, for each compression iteration, based on the entropy model as updated following the previous compression iteration. Further, a total loss of image data from each data block can remain within an acceptable loss bound associated with the pixel described by such data block. An exemplary system can include a loss determination module, an entropy modeling module, a compression module, and an entropy coding module.
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