Adaptive Image Encoding Scanning Unit and Order
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images has led to higher data amounts, resulting in increased transmission and storage costs. Existing image encoding/decoding techniques are inefficient in addressing this issue.
Innovation Solution
A method and apparatus for encoding/decoding images that adaptively determine the scanning method of transform coefficients. This involves obtaining transform coefficients, determining the scanning unit and order, and performing inverse-transform based on these determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image encoding/decoding techniques are used, then existing standards can be maintained, but encoding/decoding efficiency is insufficient and cannot effectively handle high-resolution image data
Solution Approach 1:
The patent applies dynamics by making the scanning unit and scanning order adaptive rather than fixed. The scanning unit is dynamically determined based on the size of the current block and a preset threshold, and the scanning order is dynamically determined based on the size of the current block and preset threshold values. This dynamic adaptation allows the system to optimize encoding efficiency for different block sizes and image characteristics, resolving the contradiction between productivity and device complexity.
2Manufacturing precision
If high-resolution and high-quality image data are processed, then image quality is improved, but data amount increases leading to increased transmission cost and storage cost
Solution Approach 1:
The patent applies parameter changes by modifying the scanning unit and scanning order parameters based on block size and threshold values. This adaptive parameter adjustment optimizes the encoding process to achieve better compression efficiency, allowing high-resolution images to be encoded with reduced data requirements, thus addressing the contradiction between image quality and data quantity.
3Productivity
If a fixed scanning method is used for transform coefficients, then the processing flow is simple, but encoding efficiency cannot be optimized for different block sizes and image characteristics
Solution Approach 1:
The patent transforms the fixed scanning method into a dynamic one where the scanning unit and scanning order are determined adaptively based on block size and threshold values. This dynamic approach optimizes encoding efficiency for different block sizes and image characteristics, resolving the contradiction between productivity and device complexity by making the processing flow flexible rather than rigid.
Data Source
AI summary
The present invention relates to a method for encoding and decoding an image. For this, a method for decoding an image may include: entropy-decoding a bitstream; determining a scanning unit and a scanning order of the transform coefficients of the current block; scanning and aligning the transform coefficients of the current block based on the determined scanning unit and scanning order; and performing inverse-transform for the aligned transform coefficients.