Pixel Classification via Inclination Frequency for Video Filter Precision
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Solution Overview
Problem
The existing filter processes in image encoding and decoding, particularly in the context of Future Video Coding (FVC) and High Efficiency Video Coding (HEVC), face challenges in improving encoding efficiency and picture quality due to limitations in current filtering techniques.
Innovation Solution
A decoding and encoding apparatus/method that classifies pixels based on their inclination directions using frequency distribution to apply a prediction formula for product sum calculation of tap coefficients, enhancing the filter process by improving the reliability of the classification prediction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If classification is performed using simple methods, then device complexity is reduced, but manufacturing precision of filter application deteriorates
Solution Approach 1:
The classification process is segmented into multiple stages: first determining an inclination direction for each pixel, then classifying pixels based on whether their inclination directions match a reference direction. This segmentation allows the system to achieve precise filter application by breaking down the complex classification task into manageable steps that can be executed efficiently.
Solution Approach 2:
The reference inclination direction is determined in advance based on the inclination directions of multiple pixels in the processing region. By performing this preliminary determination, the system establishes a reference framework before actual pixel classification, enabling faster and more accurate classification without increasing overall device complexity.
2Reliability
If frequency distribution method is used for classification, then reliability of classification is improved, but calculation complexity increases
Solution Approach 1:
The patent extracts only the essential feature (inclination direction) from pixel data for classification purposes. By focusing on this single extracted feature rather than analyzing the complete frequency distribution of all pixel characteristics, the system achieves reliable classification while significantly reducing calculation complexity and processing requirements.
Solution Approach 2:
The classification approach changes the parameter being analyzed from comprehensive frequency distribution to a simplified inclination direction parameter. This parameter transformation maintains classification reliability by focusing on the most relevant characteristic (orientation) while reducing the computational burden associated with full frequency distribution analysis.
Data Source
AI summary
There is provided an encoding apparatus, an encoding method, a decoding apparatus, and a decoding method that make it possible to improve the performance of a filter process. The encoding apparatus and the decoding apparatus perform classification of classifying, according to a reliability degree determined according to a frequency distribution of inclination directions indicating directions of inclination of pixel values of a plurality of pixels in a frequency distribution generation region including a pixel of interest of a decoded image, the pixel of interest into any of a plurality of classes, and performs a filter process of applying, to the decoded image, a prediction formula for performing product sum calculation of tap coefficients of the class of the pixel of interest obtained by the classification and pixels of the decoded image. The present technology can be applied, for example, to a case in which encoding and decoding of an image are performed.