Fix version references and complete NEON backend descriptions

Co-authored-by: wysaid <1430725+wysaid@users.noreply.github.com>

Author: Copilot

README.md

@@ -115,7 +115,7 @@ int main() {
 
 ##### Error Handling in C++
 
-Starting from v1.2.0, ccap uses a global error callback system for simplified error handling across all camera operations:
+Starting from v1.0.0, ccap uses a global error callback system for simplified error handling across all camera operations:
 
 ```cpp
 #include <ccap.h>
@@ -505,7 +505,7 @@ typedef enum {
 
 ##### Error Handling
 
-Starting from v1.2.0, ccap uses a global error callback system for simplified error handling:
+Starting from v1.0.0, ccap uses a global error callback system for simplified error handling:
 
 ```c
 // Error codes

docs/C_Interface.md

@@ -243,7 +243,7 @@ C 接口使用以下错误处理策略：
 
 ### 错误回调
 
-从 v1.1.0 开始，ccap 支持设置错误回调函数来接收详细的错误信息：
+从 v1.0.0 开始，ccap 支持设置错误回调函数来接收详细的错误信息：
 
 #### 错误码
 

tests/README.md

@@ -7,7 +7,7 @@ Comprehensive test suite for ccap library built with Google Test, covering pixel
 ## Test Structure
 
 - **Core Tests**: Color conversion, YUV processing, platform features
-- **Performance Tests**: Multi-backend benchmarks (CPU/AVX2/Apple Accelerate)  
+- **Performance Tests**: Multi-backend benchmarks (CPU/AVX2/Apple Accelerate/NEON)  
 - **Debug Tools**: Detailed analysis and debugging utilities
 - **Technology**: Google Test 1.14.0, CMake 3.14+, C++17
 
@@ -44,11 +44,11 @@ cmake --build .
 - Color channel shuffling (RGB/BGR conversions)
 - YUV format conversion (NV12/I420 to RGB/BGR)
 - Single-pixel YUV conversion with BT.601/BT.709 standards
-- Platform feature detection (AVX2, Apple Accelerate)
+- Platform feature detection (AVX2, Apple Accelerate, NEON)
 
 ### Performance Validation
 
-- Multi-backend comparison across CPU, AVX2, Apple Accelerate
+- Multi-backend comparison across CPU, AVX2, Apple Accelerate, NEON
 - CCAP vs LibYUV benchmarks
 - Memory bandwidth testing
 - FPS and throughput analysis