17962313. DPCM CODEC WITH HIGHER RECONSTRUCTION QUALITY ON IMPORTANT GRAY LEVELS simplified abstract (Samsung Display Co., Ltd.)
Contents
DPCM CODEC WITH HIGHER RECONSTRUCTION QUALITY ON IMPORTANT GRAY LEVELS
Organization Name
Inventor(s)
Vijayaraghavan Thirumalai of Fremont CA (US)
DPCM CODEC WITH HIGHER RECONSTRUCTION QUALITY ON IMPORTANT GRAY LEVELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17962313 titled 'DPCM CODEC WITH HIGHER RECONSTRUCTION QUALITY ON IMPORTANT GRAY LEVELS
Simplified Explanation
The abstract describes a method for compressing frames in an image compression and storage system. Here is a simplified explanation of the abstract:
- The method starts by mapping an original sample to a mapped sample based on the bit depth of the original sample and a maximum allowed error.
- A residue of the mapped sample is determined based on a mapped previous reconstructed sample.
- A modulo addition is applied to the residue to generate a biased residue.
- The biased residue is then quantized based on the maximum allowed error to generate a quantized biased residue.
- Finally, a value corresponding to the quantized biased residue is encoded to generate an encoded value.
Potential applications of this technology:
- Image compression and storage systems: The method can be used in systems that require efficient compression and storage of images, such as in digital cameras, video streaming platforms, or cloud storage services.
- Video compression: The method can be applied to compress individual frames in a video sequence, enabling efficient video compression and transmission.
Problems solved by this technology:
- Efficient compression: The method provides a way to compress image frames while maintaining a maximum allowed error, allowing for efficient storage and transmission of images without significant loss in quality.
- Reduced storage requirements: By compressing the frames, the method helps reduce the storage requirements for image and video data, making it easier to store and manage large amounts of visual content.
Benefits of this technology:
- Improved storage efficiency: The method allows for effective compression of image frames, resulting in reduced storage requirements and enabling more efficient use of storage resources.
- Enhanced transmission: Compressed frames can be transmitted more quickly over networks, reducing bandwidth requirements and enabling faster delivery of visual content.
- Maintained quality: The method ensures that the compression does not exceed a maximum allowed error, preserving the quality of the images while still achieving efficient compression.
Original Abstract Submitted
A method of compressing a frame in an image compression and storage system includes mapping an original sample to a mapped sample based on a bit depth of the original sample and a maximum allowed error, determining a residue of the mapped sample based on a mapped previous reconstructed sample, applying a modulo addition to the residue to generate a biased residue, quantizing the biased residue based on the maximum allowed error to generate a quantized biased residue, and encoding a value corresponding to the quantized biased residue to generate an encoded value.
